30 Startups To Watch: AI Startups That Caught Our Eyes In February 2024

During the last 18 months, Generative Artificial Intelligence (GenAI) has become a focal point of discussions across all circles, as OpenAI’s transformational large language model (LLM), GPT-3, and everyone’s favourite AI chatbot, ChatGPT, broke multiple records in November 2022.

With its ability to generate text, images, audio, and now video (with OpenAI’s scarily realistic large vision model Sora), companies are automating content-related processes faster than the Covid-induced digitization push. As LLMs become better and more sophisticated, both big tech giants and small startups are racing to create the next big AI tool.

Amid this mad dash, the world’s third-largest startup ecosystem, too, seems to be on AI steroids. A case in point is Bhavish Aggarwal’s Krutrim, which became a unicorn in January this year.

Further, according to Inc42’s ‘India’s Generative AI Startup Landscape, 2023’ report, the country’s GenAI market is expected to grow exponentially in the next few years, surpassing $17 Bn by 2030 from $1.1 Bn in 2023, growing at a CAGR of 48%.

Already, India’s startup ecosystem comprises 70+ GenAI startups. With a majority of them in the early stage, Inc42 took the opportunity to highlight the best of the lot in its AI-focused 45th edition of ‘30 Startups To Watch’.

Interestingly, most of these startups are based out of India’s very own Silicon Valley, Bengaluru. A significant chunk of these early-stage startups is building developer-focused tools. Besides, several startups have emerged to assist businesses transition to AI.

With the Indian AI ecosystem destined for exponential growth in the not-so-distant future, we have endeavoured to identify the gems in the Indian AI startup space. With that said, here are the 30 GenAI startups that caught our eyes in February 2024.

Editor’s Note: The list below is not a ranking of any kind. We have listed the startups alphabetically.

Alltius

Enterprise-Ready AI Assistants

Founded by Vibhanshu Abhishek and Siddhant Mishra in March 2022, Alltius transforms sales and support journeys with secure and intelligent AI assistants for enterprise applications, websites and contact centres.

Alltius’ no-code platform allows businesses to seamlessly create, train and deploy AI assistants, within a day. These AI assistants can be trained on an array of company resources, including documents, images, PDFs, website URLs, FAQs and videos, among other formats.

These AI assistants can answer queries, create pitches, compare insurance plans, create tickets, draft emails and more). Alltius’ customers can easily combine different knowledge sources, skills and channels like LEGO blocks and deploy across channels such as APIs, widgets, Slack and more.

Alltius wants to stand apart from conventional solutions by offering rapid ROI within weeks, the ability to go live within a day, low hallucinations, extensive integration options and robust infrastructure to handle up to 100K queries a day.

Athina AI

Making AI Applications More Reliable

Pre-trained models like OpenAI’s ChatGPT or Google’s Gemini make it very easy to build prototype AI applications, but it’s incredibly difficult to release a safe and reliable AI in production. For example, these models frequently output completely made-up information – a phenomenon that’s been termed as “Hallucinations”.

This is the top challenge for small and large enterprises trying to integrate AI. Second-time founders Shiv Sakhuja, Himanshu Bamoria, and Akshat Gupta have set out to solve this problem and help companies build safer AI products.

Athina AI, founded in 2022, helps companies evaluate the performance of their AI models and set guardrails and safety nets around their AI systems. Its proprietary evaluations can detect when AI churns factually incorrect information, leaks Personal Identifiable Information (PII) or sensitive information, or says something that is racially biased or toxic towards certain groups, among others.

It also measures “correctness” on a number of other dimensions, including conversation coherence, answer relevance, truthfulness and other domain-specific criteria.

This helps companies monitor the performance of their AI models continuously, and set safeguards around the AI to prevent bad outputs from reaching users.

Athina AI operates on a Software as a Service (SaaS) model. Additionally, it provides open-source solutions as part of its offerings. A majority of its customers are based in the US, and the rest are from Europe and Asia. It currently processes millions of logs every week.

In the short term, Athina is focussed on aiding teams in monitoring and evaluating their models to ensure the release of safer, more reliable AI products. By 2026, the company aims to facilitate the automatic continuous training of AI models to embed safety standards directly into the models themselves.

AuraML

Solving Dataset Challenge

Acquiring and labelling high-quality training datasets for machine learning tasks such as self-driving cars and robotics is a significant challenge as it consumes a lot of time and is cost-heavy.

Manual efforts to collect and label thousands of images require extensive fieldwork and laborious processing. The lack of efficient tools for managing and preparing millions of images further complicates the process.

Founded in 2023 by Ayush Sharma and Arjun Gupta, AuraML helps solve the problem of training datasets for computer vision using synthetic data. It provides a cloud platform where its users can generate varied synthetic datasets for their AI model training.

The users can simulate real-world scenarios easily with all the different variations in lighting, objects and backgrounds, set up virtual cameras with similar parameters to their real camera and record synthetic datasets with perfect labels. Some of the features it offers are: synthetic data generation, GenAI-based augmentation, and sensor simulation for LIDAR, IR and X-rays.

It offers a monthly subscription to its platform, which the users can subscribe to generate as much data as they need. The Bengaluru-based startup supports diverse use cases in the areas of warehouse automation, drone inspection, agritech, defect detection in manufacturing, and autonomous vehicles.

Aura ML has recently forged a strategic partnership with Capgemini. With over 2 Lakh synthetic images generated across various applications, it aims to expand into the US market, releasing the Synthetic Data GenAI model, and implementing usage-based and tiered pricing.

Babblebots

AI Recruiters

Mumbai-based Babblebots.ai is a GenAI platform that creates digital agents capable of conducting long-form human-like conversations with job candidates, known as ‘AI Recruiters’.

These AI Recruiters utilise advanced LLMs and proprietary AI models, including voiceAI, to simplify recruitment processes. They can engage in conversations in multiple languages, eliminating the need for scheduling interviews and assessing candidates across hundreds of parameters, allowing companies to shortlist candidates within a few days.

Babblebots.ai claims to have collaborated with over 70 leading companies such as Alkem Laboratories, Welspun Enterprises, MJ Biopharm, Indus Towers and IIT Bombay’s DRF. It has conducted over 10,000 interviews across 200+ roles and has analysed thousands of hours of interview data to rapidly improve its models.

The startup’s offerings also include AI recruiters, which serve as co-pilots for conducting job interviews and assessments, and AI-powered CV screening.

Cloodot

Unified Customer Interaction Support

Born out of the necessity to manage scattered chats and reviews across social media platforms, websites, and review sites, Cloodot offers a multi-channel team inbox designed to streamline customer interactions for businesses across various online platforms.

Established in 2019 by engineering graduates Adhil Munna, Fahmi Bin Bakkar, and Haris Sulaiman, Cloodot’s AI-powered unified team inbox for multi-outlet businesses helps automate conversations with customers across SMS, social messengers, webchats, and more.

Furthermore, its AI-powered review aggregation platform simplifies the process of collecting and responding to reviews across various review platforms.

Cloodot aims to establish a presence in the US market and achieve $12K in annual recurring revenue by the end of the current financial year. Over the next two years, it aims to solidify its presence across at least three sectors — auto, home services, healthcare — and reach $1 Mn in annual recurring revenue.

Clueso

Crafting Studio-Style Videos From Simple Screen Recordings

Making YouTube videos is important for many businesses to drive user engagement, but it poses significant hurdles. The process, which can span up to two weeks, involves scripting, voice acting, studio recording, and editing. The labour-intensive nature of video creation remains a formidable challenge, but this is where Clueso comes into the picture.

Founded by Akash Anand, Prajwal Prakash, and Neel Balar in 2023, Clueso helps companies create instructional videos and documentation for customer education and employee training. Its AI-powered product converts ordinary screen recordings into highly engaging videos.

Clueso does this by cutting down the time it takes to generate training materials by over 80% and improving the quality by 10X.

It automatically removes fumbling and rewrites the transcript to cover the same content in 30% less time. It also replaces an audio track with a professional, natural-sounding AI voiceover. Finally, Clueso adds zoom-in effects and custom branding to every video. Moreover, it also creates a written article for every video.

Clueso’s primary geographies are the US, India, Europe, and East Asia. Its revenue model hinges on monthly subscriptions, correlating with content volume and user seats.

CodeMate

Your Mate For Error-Free Coding

Founded by Ayush Singhal in 2022, CodeMate is changing the coding experience with its auto-correcting tool for programmers. Based in Delhi NCR, this startup streamlines the coding process by fixing errors in real time, boosting the efficiency and productivity of developers tenfold.

With a mission to enhance code quality and accelerate development, CodeMate boasts reducing project costs by 40% and timelines by 30-35%.

Its multifaceted approach encompasses features like code generation, translation, documentation creation, and seamless debugging.

By simplifying code navigation and comprehension, CodeMate empowers developers to code at unparalleled speeds, ushering in a new era of programming proficiency.

Crux

AI Co-pilot For Enterprises

The seed of Crux was planted back in 2019 when Himank Jain, Atharva Padhye and Prabhat Singh were all part of Mood Indigo’s core team at IIT Bombay. Their experiences working with the analytics and ML/AI teams within large organisations highlighted the stark gap between users and data-backed intelligence, laying the foundation for Crux.

With assistance from LLMs as well as traditional deterministic models, Crux is creating a decision-making AI copilot for enterprises. Crux transforms the schema, or database structure, into a comprehensible “semantic layer” that AI models can interpret.

Additionally, Crux offers customers the flexibility to tailor question-answering models to suit their specific business intelligence requirements, terms, and policies. This customisation enhances the accuracy and relevance of the generated outputs.

Crux utilises a multi-model framework, which dissects user-posed questions into individual components and allocates these components across specialised, purpose-built models.

The startup generates revenue through subscription sales, as well as by charging setup and maintenance fees. These fees are determined based on the type and scale of deployment within a company.

Over the next two years, it plans to develop a fully integrated data-centric AI platform, enabling text-to-3D and image-to-3D synthetic data generation, ultimately aiming for synthetic data to replace real data entirely.

Dashtoon

Blending Cutting-Edge AI With Creative Storytelling

Founded in December 2022 by Sanidhya Narain, Lalith Gudipati, and Soumyadeep Mukherjee, Dashtoon brings a new approach to comic creation, catering to storytellers without drawing abilities. Targeting existing writer communities, Dashtoon provides a suite of generative AI tools and a user-friendly platform for transforming narratives into captivating comics.

Utilising its innovative Dashtoon Studio, creators upload storyboards, select characters from the platform’s library, or even upload images to generate visuals, drastically reducing production time from 40-50 hours to a mere 5-6 hours per episode. This efficiency allows for daily episode releases, enhancing Dashtoon’s potential to produce hit content.

Dashtoon empowers creators to seamlessly translate ideas into high-quality comic content. Creators outline narratives, characterise key figures, and map storyboards, with Dashtoon’s technology seamlessly transforming these elements into polished comic output.

Dubpro.ai

Localising Video Content In Multiple Languages

Dubpro.ai is working on video content localisation with its innovative blend of advanced AI and human expertise. Harnessing the power of AI-driven dubbing solutions, Dubpro.ai enables seamless localisation of video content into multiple languages. What sets it apart is the incorporation of a Human-in-the-loop platform, ensuring over 10 quality checks to guarantee superior results.

This approach not only ensures accuracy and authenticity but also addresses previous limitations related to cost and time constraints. Dubpro.ai is helping businesses to reach wider audiences and expand their global presence effortlessly.

Induced AI

Automating Browser Tasks

Founded by two teenagers Aryan Sharma and Ayush Pathak and backed by prominent investors like Sam Altman, Peak XV, and Daniel Gross, along with Nat Friedman’s AI grant, Induced AI is working on streamlining repetitive tasks and workflows.

The startup offers a platform that translates plain English instructions into real-time pseudo-code, facilitating the automation of myriad back-office tasks.

At the core of Induced AI’s innovation lies its ability to spawn Chromium-based browser instances, employing advanced technology to comprehend on-screen content and manoeuvre browsers akin to human actions. This capability allows for seamless interaction with websites, even in the absence of an API.

The platform is distinguished by its development of AI workers that function as an extension of a company’s workforce, adeptly handling tasks across various domains such as sales, compliance, and internal operations.

What sets Induced AI apart is its infrastructure-centric approach, prioritising cloud-first architecture to ensure uninterrupted task execution without impacting users’ devices. Notably, the startup has engineered a purpose-built browser tailored specifically for automated workflows, further enhancing efficiency and reliability.

InsurStaq.ai

Sales Co-Pilot For Insurance

Mayan Kansal and Shivam Kaushik initially embarked on developing a D2C mobile app aimed at enhancing users’ understanding and management of insurance policies. However, they soon discovered that their tool was more impactful in the hands of insurance sellers.

Recognising this, they pivoted their focus to addressing challenges faced by insurance sellers, founding InsurStaq.ai in 2022. The startup is focused on creating a generative AI infrastructure tailored specifically for the insurance industry.

The startup’s first product is a sales co-pilot that helps insurance professionals search for insurance products, research and check for compliances, or compare multiple products. This product targets sales, business development, customer support, and compliance teams in insurance companies.

It also creates customised AI workflows to assist insurance professionals in various use cases such as sales, support, compliance, research, and underwriting. InsurStaq.ai plans to introduce multiple AI co-pilots to automate internal workflows for insurance businesses.

The Delhi-based startup plans to conduct multiple commercial pilots with insurance brokers and companies within the next few months. It has also set its eyes on raising an institutional round of funding to fuel its product development, expansion, and growth plans.

Keploy

Open-Source, Developer-Centric Backend Testing Tool

While leading a data engineering team at Lenskart and Fareye, Shubham Jain and Neha Gupta observed that while app development tasks could largely be automated, testing remained highly specific to each use case and consumed a significant amount of time.

Keploy.io was founded in 2021 to address this challenge. It is an open-source TestGPT toolkit designed to automate integration testing. Keploy.io generates test cases and realistic data mocks, achieving 90% code test coverage within two minutes.

Unlike existing test automation tools, Keploy.io requires zero effort from developers to create test automation suites. It identifies duplicate and complex edge cases of any backend application. Utilising EBPF to convert all user traffic to test cases locally, Keploy.io offers easy, no-code integration.

Enterprises invest in professional services and enterprise licences for Keploy.io’s enterprise platform, which is built upon the Keploy open-source platform.

Keploy.io is currently operating across the USA, the UK, Germany, Canada, France, and India. It aims to achieve $1Mn revenue and grow a developer community to 50K this year.

Kissan AI

Multilingual AI Agriculture Assistant For Bharat

While knowledge and advice are abundant and available for sustainable farming practices, many farmers face barriers like limited access to information and language and literacy issues, which hinder their economic growth. With over 600 Mn people associated with agriculture in India, the challenge of bridging the knowledge gap is particularly important.

Kissan AI has developed a multilingual information platform, bridging the knowledge gap and connecting farmers directly with the information they need. The startup’s voice-based agriculture copilot platform provides agricultural businesses with a means to assist their farmers through insightful advice and product discovery.

Leveraging a comprehensive and expertly curated agriculture knowledge base, coupled with a vertical LLM, KissanAI’s AgriCopilot platform delivers customised information to address a wide range of challenges encountered by farmers daily.

Kombai

Making Frontend Development Fun

Over the last decade, the significance of user experience (UX) has surged across businesses. Consequently, front-end development has grown in complexity, leading to heightened demand. Despite this, developers find themselves spending a lot of time on procedural tasks such as styling (CSS), managing the document object model (HTML), and dealing with framework-specific boilerplate.

Founded by Dipanjan Dey and Abhjit Bhole in 2022, frontend devtool startup Kombai aims to alleviate this burden by helping developers streamline these repetitive tasks. By simply prompting Kombai with design files, developers can get production-quality user interface (UI) code with just one click per component. This code can then be easily downloaded, modified in any way, and incorporated into their codebases. Kombai is currently accessible for free in the public research preview phase.

The startup simplifies UI code creation with a step-by-step approach, intelligently organising elements into a streamlined div structure with minimal hardcoded CSS. It segments code into clear components for easy understanding and potential reuse, replacing static text with variables based on identified patterns. Kombai enhances the code further using publicly available LLMs for refinement, resulting in a polished end product.

Kroop AI

A Platform For Responsible & Ethical Synthetic Data

The problem of deepfakes revolves around manipulating audio, images, or videos to create highly realistic yet fake content, leading to widespread misinformation, identity theft, privacy violations, and reputational damage. The problem has only been exacerbated ever since the rise of large diffusion and large vision models, which have made generating deepfakes far more easier and accessible.

Kroop AI offers a platform for responsible and ethical synthetic data. Its multimodal detection platform ViZMantiZ is a deepfake detector for images and videos. Another product, Artiste AI Studio, is a web app and API for synthetic data generation from avatars in different languages.

ViZMantiZ specialises in sub-continent data-based deepfake detection, and it can cater to the rich diversity. The startup plans to expand beyond India to the APAC region this year while integrating deepfake detection technology into KYC settings and social media platforms.

Kusho

Unlocking Truly Autonomous Testing For Development Teams

Kusho was founded in 2023 by BITS Pilani alumni Abhishek Saikia and Sourabh Gawande. The startup is building AI agents that harness the power of LLMs (Large Language Models) to ensure that the code is tested during development and with every new release.

Kusho uses proprietary models coupled with foundational LLMs to simulate an AI software developer that can discover bugs in code with significantly greater accuracy and in a fraction of the time compared to a human software developer.

Furthermore, KushoAI helps engineering teams set up API test automation with a single click. It helps you generate tests, execute them, and get analysed results for your entire codebase in sync with your CI/CD pipeline.

KushoAI writes and executes functional tests for REST APIs, allowing teams to ship quickly without worrying about overlooked edge cases that could cause issues in production.

By utilising inputs such as Postman collections, OpenAPI specs, or API information, KushoAI generates comprehensive tests that can be seamlessly integrated into the CI/CD pipeline via GitHub actions or executed locally. This approach streamlines the process of issue discovery, eliminating the need for manual test creation and easing the burden on development teams.

KushoAI is currently available to individual users at no cost. However, for enterprise users, it operates on a usage-based billing model.

After its launch in January 2024, KushoAI has rapidly expanded its user base, with hundreds of users spanning the globe. It wants to scale the enterprise offering in the US and EU regions this year. Additionally, the aim is to automate the backend testing process entirely, providing a user experience akin to interacting with a self-driving car.

Looking ahead to 2026, KushoAI aims to develop a comprehensive platform for software engineering teams so that they can serve as a one-stop solution for all testing and repair processes.

Listnr AI

Human Text-To-Speech In Seconds

With a selection of over 1,000 voices in 140 languages, Listnr AI empowers creators to craft human-like voices and videos in a matter of minutes. Founded by Ananay Batra in 2020, the startup offers include text-to-podcast creation and instant voice cloning, requiring only a 6-second sample.

Based in Gurugram, Listnr AI boasts users from over 50 countries. It has onboarded over 2.5 Lakh users in the last three months. The startup has a network of 1.2 Mn users. Listnr AI aims to achieve 5 Mn users by the end of 2024. Looking ahead to 2026, the startup aims to reach $10 Mn in ARR.

LongShot AI

AI Assistant For Content Teams

In today’s world, the problem of misinformation is rampant, exacerbated by the rapid spread of information through digital platforms. Fact-checking plays a pivotal role in combating this issue.

LongShot AI, founded by Ankur Pandey and Anushree Bishnoi in 2021, offers a solution tailored for enterprises seeking precise and verified content generation. This platform employs AI to simplify content creation across media, including blogs, articles and marketing collateral. What stands out is a fact-checking mechanism, integrated to ensure that all generated content remains devoid of inaccuracies or distortions.

Positioned as the ChatGPT for businesses, LongShot AI distinguishes itself by its ability to handle sensitive subject matter with precision and authenticity. Unlike conventional AI models, LongShot AI specialises in crafting SEO-friendly, verifiable, and engaging long-form content.

Meritic

AI Tools For Business Intelligence

Founded by Pallavi Chakravorty, Nipun Gupta, and Swapnil Basak in 2023, Meritic is helping mid-market companies with its innovative storytelling co-pilot, which is aimed at automating reporting and analytics.

Its mission is to empower business teams by providing cutting-edge generative AI tools, freeing them from mundane tasks and transforming them into strategic powerhouses.

Leveraging AI, Meritic enables the creation of knowledge graphs, analysis of business data, automation of financial reports, and preparation of commentaries.

Through these advanced technologies, Meritic is not only streamlining operations but also unlocking the full potential of business teams, allowing them to focus on high-value tasks and driving innovation.

NeuralGarage

Studio-Quality Lip-Sync With AI

Dubbed and regionalised video-based content has a critical pitfall: the visual cues are not in sync with what is being said.

NeuralGarage, founded in 2021 by Mandar Natekar, Subhabrata Debnath, Anjan Banerjee and Subhashish Saha, is developing a proprietary tool, VisualDub, which syncs recorded voiceovers with lip movement so that the content appears truly localised.

VisualDub provides visual lip-sync delivered at 2k-4k resolution with zero artefacts, as NeuralGarage claims. The product works on every screen size and transforms the face under the eyes, including jaws, mouth, chin, smile lines and micro muscles in the cheeks and upper neck, giving a natural transformation.

Currently, the startup serves clients in India but aims to expand to large markets soon. It also has large global clients such as Amazon, Coca-Cola, Britannia, Microsoft, GSK, and Ultratech Cement.

NeuralGarage’s short-term goal is to onboard 50 clients in advertising and achieve a revenue milestone of $1 Mn. By 2026, the startup plans to launch a complete self-serve desktop version of VisualDub.

Ovonts

Developer-First AI Agent

Manish Sau and Kinjal Bhattacharya founded Ovonts in September 2019 to develop an AI-powered influencer marketing SaaS solution and streamline partnership marketing workflows with AI and automation. However, they discovered that the technology they were building had broader applications beyond influencer marketing.

In August 2023, they pivoted to creating a developer-first AI agent platform. This platform enables developers and businesses to build and deploy custom AI co-pilots for data-driven decisions, task automation, and cross-platform deployment, shaping the future of human-computer interaction.

The platform has four key features – pre-built AI agents and components for task automation, human-like decision-making and explainable AI, focus on automation and deployment flexibility across cloud, on-premise, or edge environments with data privacy as a priority. Ovonts currently charges custom fees combining product subscriptions and professional services.

In 9-12 months, the startup aims for bottom-up adoption and self-serve subscription revenue. It also plans to expand its geographies in the next 24 months. Short-term plans for 2024 involve enhancing data preprocessing, expanding connectors, and improving reasoning for optimisation. Long-term goals by 2026 include implementing a distributed architecture, expanding pre-built agents, and developing low-code tools.

Raga AI

Fixing Flawed AI, LLM Models

Gaurav Agarwal founded RagaAI in 2021 after he had a narrow escape in a semi-automatic vehicle accident in California. Being concerned with the flaws of AI tech, Agarwal made it his mission to ensure the safety and reliability of AI and LLM models with top-notch testing.

RagaAI’s foundation model, the RagaAI DNA, ensures safe and dependable AI development across diverse data types. Their lineup of products spans LLM Evaluation, Guardrails, Compliance, Computer Vision, and Structured Data Testing, with a risk reduction of 90% and a threefold acceleration in time to market.

The startup has recently launched a new product, the RagaAI LLM Hub, which is an
open-source and enterprise-ready LLMs evaluation and guardrails platform. RagaAI operates on a subscription-based revenue model, tailored to its clients’ usage.

The startup’s 2024 aim is to lead the AI and LLM testing platform with a threefold increase in tests, expanding its reach to over 1,000 clients across various data modalities. RagaAI’s long-term plan is to ensure that all AI and LLMs are trustworthy, reliable, and compliant. RagaAI aspires to become the go-to solution for these needs.

Reo.Dev

AI-Based Revenue Intelligence Tool

Founded by Achintya Gupta, Piyush Agarwal and Gaurav Jain in 2023, Reo.Dev is an AI-based revenue intelligence tool for developer-focused companies. It helps go-to-market leaders learn which accounts have the highest conversion chances by analysing anonymous developer activities around their products and communities.

Reo.Dev’s revenue AI engine converts these intent signals into organisations and developers who are already interested in their products. It provides GTM teams with a comprehensive platform to take these intent signals to the last mile.

In the short term, the startup is building its revenue pipeline to cross $2 Mn in ARR, while Reo.Dev’s long-term ambition remains to become the default marketing stack for any developer-focused company.

Rootle

Revolutionising Hiring With AI

Recruiters spend 80% of their time making phone calls to candidates, leaving them with little time for assessment and other crucial tasks. Meanwhile, candidates are often unavailable during working hours. Vikram Patel, Naresh Prajapati and Jugal Bhavsar founded Rootle in 2023 to help recruiters scale their voice reach and meaningfully engage with interested candidates only.

Its voice-generative AI assistant calls a large number of candidates via mobile phone and captures their interest in job opportunities. By utilising Rootle, talent teams can process larger talent pools and focus on engaging with interested candidates only. As a result, Rootle reduces both the time and cost associated with hiring, delivering higher ROI for HR teams.

Rootle bills based on the number of candidates screened, with a minimum monthly commitment. The startup is focused on onboarding the top 200 employers in the country as paying customers and is building language generation capabilities and model training.

Additionally, it is developing an HR LLM capable of processing major Indic languages and addressing use cases across the entire hiring life cycle.

Segwise.ai

Observability Platform For Product And Growth Teams

Founded in 2023 by Brijesh Bharadwaj and Shobhit Gupta, Segwise is an observability platform tailored for rapid-moving product and growth teams. It assists them in closely monitoring their key metrics by delivering daily reports on the factors influencing metric fluctuations. Moreover, it aids in automatically identifying long-term key drivers of metrics and potential customer issues.

Bharadwaj spearheaded product and growth at FamPay, while Gupta led engineering. Throughout their tenure, FamPay experienced hypergrowth, revealing the challenges faced by product and growth teams in pinpointing the reasons behind metric fluctuations and identifying growth opportunities and funnel breaks. Recognising the need for ML and AI-powered observability tools to analyse data, identify root causes of metrics, and communicate insights automatically, they started building Segwise.

The startup helps companies to grow revenue, reduce costs and improve customer
experience at a much faster rate using the insights that they get.

The startup wants to onboard 20 paying customers this year and has set its eyes on generating $5 Mn in annual recurring revenue (ARR) over the next two years.

Siftly.ai

AI Business Analyst

Sharing a deep passion for startups, childhood friends Chalam PVS and Sandilya Miduthuri founded Siftly (earlier Airdot) in 2021 to help businesses connect to their company data and obtain insights by asking questions in plain English.

Teams across sales, marketing, product, operations, and other business verticals aspire to make data-driven decisions but often need help with bottlenecks due to limitations in their data team’s bandwidth availability to provide critical business insights promptly.

With Siftly.ai, these teams can instantly glean insights from their data by asking questions in plain English, utilising the system’s natural language processing capabilities and reducing the time to mere seconds, all without needing to comprehend database structures or possess technical knowledge.

Simplismart

Build, Deploy And Manage Custom Deep Learning Models In Minutes

Amritanshu Jain and Devansh Ghatak, former college friends from BITS Pilani, specialised in ML Ops and ML Optimisation while working at Oracle and Google, respectively. Recognising the potential to monetise ML Ops optimisations, they aimed to offer solutions to startups based on their experiences.

The ML Ops platform, Simplismart, founded in 2022, offers three product suits: Simplitrain to help users train ML models, Simpliobserve to monitor and observe ML models, and Simplideploy to help users deploy, optimise and scale ML models in production.

Furthermore, as part of its simplideploy suite, it offers specialised GenAI products. Simpliscribe is a speech-to-text service in Hindi and other Indic regional languages. The GenAI suite costs 10X less than Microsoft Azure and Google, is around 36% faster and has 6% fewer errors, per the founders’ claim. It is being used by 10+ companies to power their speech recognition workloads.

It also offers optimised text-to-image and image-to-image models as part of Simplidiffuse. Further, SimpliLLM deploys and fine-tunes open-source LLMs that work for specific use cases.

For its Simplitrain or Simplideploy products, the startup charges a $15,000 licensing fee. It offers discounts to companies and charges $25,000 if they want to buy both these suites together. It also charges a flat fee of $0.015 node/minute. In addition, it charges a $12,000 licensing fee for the Simpliscribe product suite.

It currently operates out of India and primarily serves SEA companies. It has plans to enter the US by the end of the second quarter of 2024. The startup aims to onboard at least two to three enterprises on the platform this year.

Snow Mountain AI

AI Sherpa For Your Business

After stepping down from early stage venture capital firm Rebright Partners as a general partner (GP) last year, Brij Singh Bhasin launched Snow Mountain AI, a GenAI-focussed startup, along with Nilesh Trivedi.

Snow Mountain AI, which currently offers early access upon request, aims to be a partner in conquering business challenges with GenAI. With a focus on tailored AI ‘Sherpas’ proficient in document analysis, data collection, and insightful execution, it wants to prioritise each client’s business functions.

While it is still unclear what specific functions the startup’s ‘Sherpas’ will aid, Snow Mountain AI’s website claims that it would shoulder team burdens, accumulating vital business knowledge to guide newcomers and support seasoned members.

Vodex

GenAI Powered Sales Agent

Founded by Anshul Shrivasthava and Kumar Saurav in 2022, Vodex was born out of the requirement to streamline voice-based communications using GenAI. The startup offers an AI-based sales agent for outbound calls in a human-like voice. Vodex’s tool automates up to 10,000 calls in a day.

Vodex’s sales agent offers applications across ecommerce, fintech and real estate. For instance, ecommerce companies can automate a call to a user who abandoned a cart at checkout to drive sales, or fintech companies can cross-sell or upsell new products to their existing customers.

Vodex claims to have touched an ARR of $1 Mn in FY24 and plans to achieve $4 Mn in ARR by FY25. Currently, it is operating in the US and Canada.

Recently, Vodex launched its 2.0 version. The startup not only plans to become a leader in the mid-segment organisation but also an end-to-end sales engagement platform in the long run.

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