AnswerGrid is building AI agents to help strategy consultants & investment analysts accelerate their research and knowledge discovery. Both co-founders (Noah and Bolu) have led the development of mission-critical software during their time at Palantir. Noah, as a Tech Lead working on platform security infrastructure used on the company’s largest contracts (incl. the UK's NHS and the US Gov), and Bolu, as a Tech Lead on the contract-winning team behind the company's largest engagement in South Korea.
Bolu is the Co-Founder and CEO of AnswerGrid. Before AnswerGrid, he tech-led teams at Palantir, winning new business and tackling problems in heavy-industries manufacturing and logistics network optimisation.
Noah is the Co-Founder and CTO of AnswerGrid. Before AnswerGrid, he was a Tech lead on the Security & Governance team at Palantir. He got his BA in Computer Science from the University of Cambridge.
Hello! We’re Bolu and Noah, and we’re building AnswerGrid, an AI-powered web research tool realised as a spreadsheet. For our first research problem, we’re helping founders discover the 30 most relevant leads worth the investment of manual outbound every day.
B2B founders find that the most effective lead qualification goes beyond industry category filters and instead involves evaluating a company against many loose heuristics. For example, one of our early customers qualifies leads with questions like, "Do they offer subscription or usage-based pricing?".
Founders have been forced to choose between this sort of thoughtful qualification research and increasing the reach of their high-quality outbound. Until now :)
AnswerGrid helps founders run their lead qualification research at scale.
We, however, do not want to scale AI spam :)
Instead, we are helping teams codify and deploy the research to discover leads that justify investing in human-written outreach.
Most web research workflows—from a research analyst going deep into a new sector to a content creator in the market to buy new recording gear—start as questions in browser tabs, then move on to become answers in the cells of a spreadsheet, paragraphs in a document, or bullet points on a slide deck.
We’re now close to having these research deliverables write themselves. We have the intelligence (thanks to LLMs) but lack the interfaces and infrastructure to do it well (great).
We founded AnswerGrid to build these interfaces and infrastructure.
Because the research outcome is immediately actionable—"Who should I sell to today?"—and the feedback cycles are short—"Was that lead relevant?".
We want to help more people avoid choosing between scale and quality in their web research workflows.
Please book time with us if you have a similar use case in private equity, management consulting, or elsewhere.
1. If you’re selling to companies and would like to discover the 30 [1] most relevant people to speak with every day, kindly Book time Here.
We’re offering a concierge experience to the first 20 sign-ups. Noah and I will be embedding with you as your personal growth ops team to help you discover, iterate on, and codify your qualification criteria.
2. If you have a different research workflow with a similar shape you’d like help with, kindly Book time Here.
In the meantime, you can play with the tool Here
[1] Why 30 leads daily? We’re not dogmatic about it, but we’ve found this is about the number of daily personalised messages you can write before starting to sound like an LLM, which takes us back to where we started. There are other practical bottlenecks, such as LinkedIn connection limits.