The old world
We sold to humans.
Revenue teams learned the path: earn a champion, map the buying committee, reach the economic buyer, clear procurement, and build the relationships that carry a decision.
Buying decisions now move through people and AI. Adrata is the AI for revenue leaders and AEs built to sell to both—mapping the whole decision group, shaping the strategy, and showing the next move to win the pursuit.
The Starfield workspace: revenue leader Nico Sylvester's team — $22.9M current-quarter commit, $91.6M current-quarter pipeline, 4.0x coverage, a 48% team win rate, and today’s leadership priorities. This is the product itself, running on a fictional demo workspace — drag the window, open a deal, read a thread.

The old world
Revenue teams learned the path: earn a champion, map the buying committee, reach the economic buyer, clear procurement, and build the relationships that carry a decision.
The new world
Buyers use AI to read our emails, compare vendors, test our claims, and shape the shortlist before the next human conversation.

The AI inbox
Before Priya opens her inbox, AI ranks every sales email against Volt’s active decision. It moves messages that resolve a live question above generic follow-ups.
The Inbox
The AI evaluation
Wes can drop in the Cybercross proposal and Volt’s requirements. AI extracts the claims, checks the cited evidence, and exposes the gap.
The Evaluation
The AI shortlist
Karen can compare Cybercross, the incumbent, and another vendor against one decision rubric before the next seller conversation.
The Shortlist
The attention shift
45% of B2B buyers used GenAI in a recent purchase. Nearly half of enterprise buyers already bring AI into the decision before the seller enters the room.
The noise problem
Companies are deploying AI to manufacture outbound at enormous scale. Buyers face more noise, their assistants filter more aggressively, and a credible seller has to earn attention before a human ever sees the message.

The growing problem
Access now depends on more than finding a champion. More people can decide or block, while AI ranks the email, tests the proof, and shapes the shortlist before the next call. Leaders see silence, delay, or loss—without seeing the hidden human-or-AI judgment that caused it.

The strategic question
The decision is more complex, the information is incomplete, and every move changes what the other players do next.
The Solution
Strategy AI has learned to win increasingly complex games by reading the whole board, anticipating responses, and finding the move people miss. Adrata applies that discipline to enterprise sales—understanding every decision-maker, constraint, proof point, and likely response together.
01 · Read the game
Adrata models each stakeholder’s incentives, constraints, influence, and likely response—then finds the sequence that builds belief, removes vetoes, and moves the group toward one decision.
02 · Open the room
Adrata spots the trigger, maps every decision-maker and likely AI assistant, and finds the strongest relationship path into the room—not just the next known contact.
03 · Make the move
Turn pursuit strategy into action. Every recommendation gives the seller the right person, message, proof, timing, and source trail to advance the decision now.
AI for the Pursuit
The strategy layer for the hardest deals: one living read of the account, the entire decision group, the buyer-side AI, the evidence, and the next move. Leaders see whether the pursuit is real. Sellers know how to win it.
Built For The Pursuit
For the enterprise pursuits that can change the number—and the companies that refuse to leave a $10M decision to a CRM stage.
Customer · Pinpoint · CRO, JP McCorley
“For us at Pinpoint, Adrata is the Claude Code moment for revenue. Bring it a real account and it starts working the pursuit with you—showing you who matters, where the deal is exposed, and what deserves attention next. It feels less like a tool you have to operate and more like having an exceptional operator in the room.”
JP McCorley
CRO, Pinpoint
“I’m not sure how this works, but it’s the future. My team walks in already knowing who actually matters, and the pipeline moves faster because of it.”
John DanoCRO, Scientific Selling Group“Adrata understands revenue at a level most CEOs never see. It was built by operators who have actually closed enterprise deals.”
Tiffany LargieCEO, MORE“We stopped guessing who matters. Adrata shows us the committee and the route to the people who need to believe.”
Justin JohnsonCEO, CloudCaddieAI for the Pursuit
AI for revenue leaders and AEs—from choosing the pursuit to making the move that closes. Every stage shares the same buyer-room context, evidence, and strategy.
01 · Target
Combine ICP fit, timing, history, and evidence so sellers start where a real decision can form.
02 · Trigger
Identify the business change, internal pressure, or decision event that makes this pursuit timely.
03 · Enter
Start with the person, problem, and moment most likely to create a credible path into the account.
04 · Strategize
Plan the pursuit from first attention through belief, consensus, approval, and close—not just the next seller action.
05 · Understand
Reveal who matters, who is missing, and who can approve, fund, influence, or quietly block the deal.
06 · Access
Surface the relationship path to each buyer instead of leaving the seller trapped behind one champion.
07 · Interpret
Use sourced communication, workflow, and public evidence to infer which assistants and models are involved, with confidence attached—then adapt the strategy, proof, format, and route for how they retrieve, rank, and scrutinize information.
08 · Engage
Give the buyer—and their AI—the relevant message, credible proof, and clear reason to respond.
09 · Coordinate
Sequence the business case, technical proof, security review, procurement path, and executive decision as one pursuit.
10 · Verify
Separate visible activity from decision-making spread, then inspect buyer coverage and risk before calling the forecast.
11 · Forecast
Verify buyer coverage, approval risk, and missing proof before a leader accepts the CRM stage as truth.
12 · Advance
Put the route, message, proof, next action, and source trail in the seller’s hands through procurement.
AI In The Buyer Room
Communication, workflow, and public evidence can indicate the likely assistant and confidence level. Adrata uses that signal to understand how buyer-side AI may retrieve, summarize, compare, and challenge evidence—then adapts the message, proof, citations, format, and route. Custom instructions, memory, connected tools, and enterprise configuration can change any individual result, so every inference remains sourced, confidence-aware, and non-deterministic.
Work-graph grounded
Make the proof easy to retrieve, summarize, and preserve inside the work graph.
Memory, files, and connected context
Expect direct claim comparison. Cite the evidence and make the decision rubric explicit.
Project knowledge and long-context work
Keep the full proposal internally consistent and make every important claim traceable.
Connected-source synthesis
Use clear source names and structured proof that survives cross-document synthesis.
Current-web and public-proof oriented
Make public proof current, verifiable, and consistent with the material sent privately.
Bring Us The Pursuit
Bring Adrata a forecasted account. Leave with the missing people, proof, route, and next move.
Get started here
Start with one forecasted account. Adrata connects the record to the buyer room and opens the next-move checklist the same day.
Pick the forecasted account
Start with the deal the team cannot afford to lose.
Connect CRM
Bring in the account, owner, stage, history, and activity.
Map the buyer room
Reveal power, missing approvers, blockers, and routes in.
Open the next-move checklist
See the route, message, proof, and next action.
Roll out to the team
Give every seller the same live pursuit context.
Why we started Adrata
A champion creates momentum. A champion does not create the decision. The decision moves through finance, security, legal, procurement, operators, and the executives who can quietly stall a deal that looks healthy in your CRM.
That is where forecasts break. The rep has activity, the manager has a stage, the CRO has a number, and the people who actually approve, block, or fund the deal were never in the room. The deal was never as real as the pipeline said it was.
It is not a data problem. Your CRM is full. It is a visibility problem: the room that decides is invisible, so the work happens to the contacts you already know instead of the people who actually sign.
Adrata makes the room visible across every sales account. See who is engaged and who is missing. Read the politics: who holds power, who can block, who needs proof before they will move. Then turn that read into the route, the message, the proof, and the next move your team can run today.
And every move is sourced and inspectable. A rep knows who to reach next and why. A manager knows whether a deal is single-threaded or truly covered. A CRO knows which commits are real before the board ever asks.
That is the difference between activity and access. Activity fills a pipeline. Access wins the deals you cannot afford to lose.
Bring the forecasted account that matters most. We will show the route in, the buyer-room risk your team cannot see, and the coaching move that can still change the outcome.