Top Tech Startups in Bengaluru, India in 2026

Welocalize is a company that provides services to transform content into multiple languages. We have a network of over 250,000 linguistic resources and operate in North America, Europe, and Asia. We offer high-quality training data solutions for machine learning by combining technology and human intelligence to collect, annotate, and evaluate all types of content.

Quash is an Agentic tool that automates QA for mobile apps. It identifies, reports, and resolves bugs, reducing manual QA efforts. Devs focus on building while Quash accelerates bug fixes, delivering faster, reliable apps.

EazyML, the first machine learning platform to predict outcomes from textual data. And the best part? It's transparent! Easiest-to-use ML platform.

We're building OutFlo AI, a next-gen outreach automation tool designed for sales teams and lead-gen agencies to scale their outbound workflows, starting with LinkedIn. OutFlo AI helps GTM teams run LinkedIn outreach on auto-pilot and affordably scale it from multiple accounts - so they can book more qualified meetings, consistently. OutFlo is founded by Tushar Singla (IIT Kharagur alum) who led $0-1Mn founding sales at a Sequoia funded AI startup, previously built products at Cisco, did high-impact AI research at NUS Singapore, and won national innovation competitions for his earlier SaaS startup. We’re backed and mentored by top global SaaS founders who’ve taken companies to IPO, achieved multi-million dollar exits, and scaled revenues beyond 500Cr. On the tech side, we’re closely guided by exceptional CSE alums from top IITs who’ve been founding engineers at leading AI startups - they’ve also designed our current tech architecture. Our long-term vision is to be the AI-native sales enablement platform, powering every step of the GTM motion: from finding the right prospect to booking high-intent meetings, across channels like LinkedIn, email, calls, and social. We’re starting with LinkedIn and targeting B2B teams in the US, where demand is strongest and where the founder has personally faced the pain point. We’ve seen strong early adoption from paying customers in US, UK, Germany and India - these include SaaS startups, lead gen agencies, recruitment firms - and we have a long global waitlist.

Patronus is building the data privacy stack for companies. It allows companies to build trust with their customers by enabling privacy-first practices. Moreover, it helps in executing the requisite privacy compliances.

We're a small founding team building something new in the global hiring market - an AI-native solution aimed at SMB and mid-market customers. The hiring industry today is stuck in an AI doom loop. Job seekers use AI to apply; companies use AI to filter. Applications have surged past 11,000 per minute on LinkedIn alone, and only 8% of candidates believe the systems screening them are fair. Recruiters are buried, candidates are frustrated, and the trust on both sides is at an all-time low. Most of the tools sold to fix this are doing the opposite - adding more noise, more automation, less judgment. We think the next generation of hiring software looks fundamentally different. Not a database with AI bolted on. Not another sourcing tool. Something built from the ground up for how hiring actually happens inside SMB and mid-market companies — where most of the world's hiring decisions are made, and where the existing category has historically underserved. Who we are: The founding team brings together deep operating experience across the layers this product touches: Our current team has experience in building and delivering HR solutions, scaling global systems in e-commerce and testing and one of us has taken products from $1M to $20M ARR in 18 months, with the latest LLMs as second nature. Between us, we've shipped at scale before. We're now starting over — quietly, deliberately — on a problem we've each lived from a different side. How we build We're staying small on purpose. Six to ten people for the next 24 months, with one clear objective: hitting our first ambitious revenue milestone, measured in millions. Where we are Currently in quiet build mode. Pre-seed. Early customer conversations underway. Founding team forming now. If you're a builder who wants a real seat at a real table — engineering, product, design, GTM — we'd love to talk. ? [email protected]

Lending operations run on decisions. We make sure AI handles everything else. LendingIQ builds, integrates, and operates AI agents across the full lending lifecycle - origination, underwriting, servicing, and collections. We don't sell software licenses. We deploy purpose-built agents directly into your existing stack - your LOS, LMS, bureau APIs, and core banking systems and run them so your teams stay focused on credit judgment, not data wrangling. What we do: → AI agents for origination, underwriting, collections & servicing → Decision Science models for real-time credit risk & fraud detection → Workflow automation that plugs into your existing tech - zero rip-and-replace → Continuous operations: we monitor, maintain, and update agents as your policies evolve How it works: We start with a structured AI Opportunity Audit - mapping your workflows, identifying where time is lost, and ranking agents by ROI. First agents go live in weeks. Most clients see measurable throughput improvement within 2 weeks of deployment. Built for: Banks • NBFCs • Fintechs