We have news we have been waiting to share. Binocs has been selected for the 2026 class of Google for Startups Accelerator: India. More than 2,500 AI startups applied this year. Twenty made it through. We are one of them.
A selective year, and a milestone one for Google
Getting into this cohort meant clearing one of the most competitive selection processes in the Indian startup ecosystem this year. From a pool of over 2,500 applicants, Google backed just 20 AI-first companies, chosen for the strength of their technology and the size of the problem they are going after.
The timing makes it more meaningful. 2026 marks ten years of Google's Accelerator programs, and this is the anniversary class. Being part of that group is not something we take lightly, and it reflects the work our team has put in to get here.
What we are building
Binocs is building agentic AI for the entire deal process, from origination through commercial due diligence, growth strategy, and value creation.
The work we automate normally sits with strategy consulting teams and takes weeks of manual effort. Reading through data rooms, assembling diligence findings, sizing markets, pressure-testing growth plans, shaping value-creation theses. Our platform produces that output using AI with the depth, precision, and reliability that dealmakers expect from a top-tier consulting engagement.
That is the bet behind Binocs. The deal process has run on human hours and long timelines for decades. We believe the best of that work can be generated faster, more consistently, and at a fraction of the cost, without giving up the rigor that makes it worth trusting in the first place.
What the next three months look like
Over the course of the program we get access to Google's mentors, their AI stack, and hands-on go-to-market support, alongside a room full of founders who are all building at pace. The accelerator opened with an in-person bootcamp at Google's Bengaluru campus, and the standard in that room set the tone for what is ahead.
Our focus for the program is straightforward. Sharpen the product, harden the underlying infrastructure so it holds up under real enterprise workloads, and get closer to the teams who live in the deal process every day.
Where we go from here
This selection is a strong signal, but it is a starting line rather than a finish. The problem we are solving is large, the technology is moving quickly, and the opportunity to change how commercial diligence and strategy work gets done has never been more open.
If you are an investor, operator, or dealmaker curious about what AI can do for your process, we would love to talk.
Our thanks to the Google for Startups team for the opportunity.
