AI Startups To Watch: 5 Startups That Caught Our Eye In July

The Indian AI ecosystem is no longer restricted to chatbots, agents and copilots.

Across industries, tech is increasingly being deployed to solve specific business problems in shorter timelines. As AI gains mainstream adoption, its impact is becoming visible across a wide range of enterprise use cases.

Today, AI is helping engineering teams speed up software development while reducing costs, enabling marketers to measure campaign performance more accurately, and improving enterprise productivity and public safety.

The shift is also becoming evident in the broader ecosystem. Enterprise AI startup C5i recently revived its public market ambitions through a confidential IPO filing, while Zeta founder Bhavin Turakhia launched Neo to tackle one of enterprise AI’s biggest challenges: fragmented organisational knowledge.

Investor appetite has remained equally strong. According to Inc42’s ‘Indian Tech Startup Funding Report, H1 2026’, Indian AI startups raised $676 Mn during the first six months of 2026, a fourfold increase over the year-ago period.

Against this backdrop, Inc42 returns with its monthly ‘AI Startups To Watch‘ series. The tenth edition highlights five emerging startups building across AI-powered mobile attribution, developer infrastructure, pre-publish video intelligence, operational intelligence and enterprise productivity. 

With that said, here are the five emerging ventures that made it to the tenth edition of Inc42’s AI Startups To Watch.

Editor’s Note: This is not a ranking. The startups featured here are a curated selection by the Inc42 editorial team and are listed alphabetically. 

Linkrunner | AI-Powered Mobile Marketing Measurement

As mobile app companies spend more on customer acquisition, measuring which campaigns actually drove user engagement is getting tougher. Bengaluru-based Linkrunner is building a platform that helps businesses track marketing performance more accurately.

Founded in 2025 by Shreyans Sancheti and Darshil Rathod, the startup was born out of the founders’ experience building the internship platform Bluelearn, where they found existing attribution tools expensive and difficult to use.

Today, Linkrunner combines attribution, deep linking, cohort analysis, revenue tracking, retention and remarketing into a single platform, giving businesses a clearer view of how users discover, install and engage with their apps. 

It also offers features such as anomaly detection, creative performance analysis and campaign insights to help marketers optimise their spending.

The startup follows a usage-based SaaS model and serves more than 150 customers across 15 countries, including India, the US, Europe, Southeast Asia and the UAE. It claims to have processed more than 6 Bn data points and now analyses nearly 1 Bn data points every month.

Linkrunner is targeting the global mobile measurement and attribution software market, helping app businesses better understand the returns on their marketing spend. The market is forecasted to cross the $15 Bn mark by 2033, growing at a CAGR of 14.3% from $6 Bn in 2026.

Monk CI | Accelerating Software Build Pipelines

AI coding assistants are helping developers write software much faster. At the same time, increased AI dependence is increasing the number of builds and tests engineering teams need to run. 

That has led to longer build queues and higher cloud infrastructure costs. Bengaluru-based Monk CI is building infrastructure to make that process faster and more efficient.

Founded in 2025 by Ujjwal Prashant and Nitin Mandale, Monk CI replaces traditional GitHub Actions runners through a one-line migration, allowing engineering teams to continue using their existing workflows without rewriting pipelines. Its infrastructure routes jobs to pre-warmed virtual machines, reducing build times and lowering compute costs.

Besides, the platform also helps developers troubleshoot failed builds by summarising build logs and identifying the source of errors. In some cases, its built-in agent can diagnose and resolve failures automatically. Monk CI claims its managed runners can cut build times by up to 10x and reduce CI costs by up to 75%.

The startup follows a pay-as-you-go pricing model based on runner minutes and currently offers free monthly build credits for developers. Since its launch, it has onboarded more than 15 companies, secured the required industry certifications, and begun pilot deployments with customers in the US.

Monk CI is targeting the global DevSecOps market, which is expected to reach $32 Bn mark by 2034, exhibiting a CAGR of 14%. In this, the North American market currently dominates with a share of over 40%.

Rowboat Labs | Organising Workplace Knowledge With AI

White-collar professionals often spend much of their day switching between emails, meetings, and documents, leaving information scattered across multiple applications. 

Bengaluru-based Rowboat Labs wants to streamline access to the scattered knowledge without forcing users to change how they work.

Founded in 2024 by Arjun Maheswaran and Ramnique Singh, the startup runs locally on a user’s device, organising emails, meetings, notes and documents into a searchable knowledge graph. 

Instead of asking users to move their data to another platform, Rowboat works within their existing workflow while keeping information on-device. Its flagship product, Work Surfaces, embeds AI into dedicated workspaces for emails, meetings and other tasks.

This allows users to search for information, retrieve context and build custom workflows. The platform is open source and supports models including ChatGPT, Claude and locally hosted large language models.

Backed by Y Combinator, Rowboat recently launched Work Surfaces and has crossed 15,000 GitHub stars. The startup is initially targeting individual knowledge workers and developers before expanding into the enterprise market.

It operates in the global knowledge management software market, which is projected to grow from $17.15 Bn in 2026 to $70.01 Bn by 2035 at a 17% CAGR.

 Vidopix | AI-Powered Ad Compliance Checks

Brands often spend weeks and millions to produce advertising campaigns, only to end up facing compliance or other unforeseen brand safety issues just before its launch. 

Bengaluru-based Vidopix wants to help marketers catch these problems before the campaign goes live.

Founded in 2024 by Atique Bandukwala, Vinu Nair and Naman Khandelwal, the startup has built a platform that reviews advertising videos before they are published. 

When a client brand or agency uploads the creatives, Vidopix checks them to gauge compliance risks, brand safety concerns and creative quality. The SaaS subsequently generates a detailed report within minutes.

At the heart of the platform is Pixi, the startup’s proprietary model trained on millions of advertisements and publicly available videos. It can analyse content in more than 230 languages, including several Indian languages, and is available through a web dashboard or APIs that integrate with existing production workflows.

The SaaS startup follows a subscription and usage-based pricing. The bootstrapped startup counts customers across FMCG, media, ecommerce and beauty, and has expanded beyond India into Oman and the UK.

Powered by AI, the startup is targeting the global video analytics market, which is projected to grow by a CAGR of 23% to breach the $41 Bn mark by 2031.

WiredLeap | Turning Cameras Into AI-Powered Decision Systems

Although CCTV cameras capture enormous amounts of footage daily, much of it is reviewed only after an incident has occurred. 

Bengaluru-based WiredLeap wants to help organisations act on that information in real time, rather than using it only for investigation.

Founded in 2021 by Piyush Shah and Prabhash Chaudhary, the startup has built IRIS, a platform that brings together feeds from CCTV cameras, drones, IoT sensors, traffic systems and enterprise databases into a single dashboard. 

By analysing these data sources together, the platform can detect unusual activity and identify emerging risks. Gathering that intelligence, it alerts operators within seconds.

To support deployments in environments with limited connectivity, WiredLeap has also developed its own edge hardware that processes video locally instead of relying on the cloud. The platform is designed for use by smart cities, law enforcement agencies, industrial facilities, critical infrastructure operators and defence organisations.

WiredLeap has already deployed its tech with the Bengaluru Police, as well as several government projects, including crowd management during Odisha’s Rath Yatra and smart city initiatives in Karnataka. It is also in discussions for larger state-wide deployments as it expands its presence in the public sector.

As of now, the startup is targeting India’s video analytics market, which is estimated at $316 Mn in 2025 and projected to exceed $1 Bn by 2034.

With inputs from Venu Rathore
Edited by Akshit Pushkarna
Creatives by Abhyam Gusai

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