AI That Thinks Like an M&A Analyst
Grata’s Contextual AI doesn’t just extract data; it interprets company signals like a deal team would. That means smarter targeting, better accuracy, and faster decisions.
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AI that understands companies the way you do
Reads Like an Analyst
Our AI engine reads millions of websites the way a human would — analyzing structure, navigation, language patterns, and commercial signals to understand what a company actually does.
Creates Data Where None Exists
When revenue, industry, or model data is missing, Grata’s AI uses conceptual inference and triangulation to generate verified estimates.
Builds a Consensus from Chaos
Unstructured, conflicting, or sparse data? Our contextual AI layers multiple sources and weights confidence scores to produce a clean, usable view.
Enables Smarter Search and Scoring
AI isn’t just a backend tool, it powers Similar Search, relationship scoring, pipeline updates, and more throughout the platform.
See How Grata’s AI Unlocks the Private Market.
Trusted by leading investment firms and now a core engine of Datasite’s M&A software platform.
WHY CUSTOMERS LOVE GRATA
Customer Testimonials
“Grata is most helpful for us from a prospecting perspective. We have a team of analysts and associates, and even senior folks at [firm] who spend a ton of time identifying companies that could be platforms or great add-ons for our portfolio companies. That is the most helpful aspect and where we get the most benefit from Grata.”
"For me, what I use Grata for the most is the AI find similar search. If we lose a bid on a company and want to go after similar companies, it's really easy to do the AI find similar and narrow down by private size range and other filters. It does a great job. That's what we primarily use it for, building lists, so it's been great for that."
AI
AI that makes every step smarter
Understand what companies do, uncover lookalikes, analyze inferred data, and prioritize targets - all powered by Grata’s contextual AI.
Define
Understand exactly what a company does
Discover
Let Similar Search surface lookalike targets you didn’t know existed
Analyze
Leverage AI-generated data like estimated revenue or inferred industry
Target
Prioritize companies using AI scoring, growth indicators, and event signals
Frequently asked questions
An AI deal sourcing platform uses machine learning to identify, analyze, and prioritize private companies for investment or acquisition. It replaces manual list building with intelligent discovery based on business relevance, not just static categories.
AI is used to discover companies, interpret business models, surface market signals, and rank opportunities. This allows deal teams to move faster while reducing noise and missed opportunities.
AI analyzes fragmented data across the web, proprietary datasets, and contextual relationships. By interpreting meaning rather than relying on exact matches, it can surface companies that traditional databases miss.
AI-driven classification reflects how companies actually operate rather than how they self-label. This leads to more accurate targeting, cleaner lists, and better strategic alignment.
AI improves early diligence by standardizing data, highlighting inconsistencies, and surfacing relevant signals at scale. This reduces manual errors and speeds up initial screening.
Grata uses contextual AI to understand companies the way an M&A analyst would. The platform identifies relevant businesses by analyzing products, customers, and market focus rather than relying on rigid taxonomies.
Grata’s AI is purpose-built for private markets and M&A workflows. It focuses on interpretability, precision, and relevance instead of generic keyword matching.
Grata AI combines partial disclosures, inferred signals, and proprietary data to build structured company profiles. This enables coverage even for private companies with limited public visibility.
The platform evaluates companies across multiple signals to assess strategic fit. This allows teams to quickly narrow large universes into high-confidence target lists.
Grata AI is designed to support, not replace, analyst judgment. Its outputs are transparent and structured to fit directly into sourcing and diligence processes.