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We no longer sell to just humans.

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.

Adrata seller and revenue leader workspaces

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 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

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.

The new world

But now AI is in the middle.

Buyers use AI to read our emails, compare vendors, test our claims, and shape the shortlist before the next human conversation.

A robot between a seller and a buyer

The AI inbox

AI decides who gets a reply.

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

Can you see if I need to respond to any sales emails?
Sloan’s email is worth opening first. It answers Volt’s open architecture question, cites the evidence, and names Wes—the person who can verify it. Generic follow-ups can wait because they do not resolve an active decision.
Ask about my inbox

The AI evaluation

AI evaluates the proposal.

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

Can you review this proposal against our requirements and flag what I need to verify?
Two claims are supported. Cybercross documents data residency and the 18-day payback. The architecture claim is still unverified, so ask Wes to confirm it before treating that requirement as cleared.
Ask about the proposal

The AI shortlist

AI shapes the shortlist.

Karen can compare Cybercross, the incumbent, and another vendor against one decision rubric before the next seller conversation.

The Shortlist

Can you compare these vendors and tell me who should stay on the shortlist?
Keep Cybercross and the incumbent. Cybercross leads on the business case; the incumbent leads on architecture proof. Advance Cybercross if its evidence clears the open review.
Ask about the shortlist

The attention shift

AI is now the gatekeeper to human attention.

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.

Source · Gartner survey of 645 B2B buyers, 2026

The noise problem

Seller-side AI is making the door even harder to reach.

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.

A billboard advertising an AI sales development representative

The growing problem

Breaking in—and navigating the decision—will only get harder.

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.

A decision maker trying to calculate a picture that no longer adds up

The strategic question

How do we win—and stay relevant—in this new human-and-AI game?

The decision is more complex, the information is incomplete, and every move changes what the other players do next.

The Solution

An AI that can see the entire enterprise pursuit—with every human and AI player.

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

We need an AI that understands how the decision will move.

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

One that sees the whole human-and-AI board—and finds the route in.

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

One that gives our sellers the tactical 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

Adrata is that AI. The first and only Enterprise Pursuit Intelligence.

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

Adrata Helps You Win The Agentic Buyer.

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

JP McCorley, CRO of 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, CloudCaddie

AI for the Pursuit

The End-To-End System For Winning The Agentic Buyer.

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

Choose the pursuit worth winning

Combine ICP fit, timing, history, and evidence so sellers start where a real decision can form.

02 · Trigger

Find the reason to move now

Identify the business change, internal pressure, or decision event that makes this pursuit timely.

03 · Enter

Choose the best entry point

Start with the person, problem, and moment most likely to create a credible path into the account.

04 · Strategize

Build the end-to-end strategy

Plan the pursuit from first attention through belief, consensus, approval, and close—not just the next seller action.

05 · Understand

Map the entire buyer room

Reveal who matters, who is missing, and who can approve, fund, influence, or quietly block the deal.

06 · Access

Find the strongest route in

Surface the relationship path to each buyer instead of leaving the seller trapped behind one champion.

07 · Interpret

Read the AI in the room

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

Earn belief and attention

Give the buyer—and their AI—the relevant message, credible proof, and clear reason to respond.

09 · Coordinate

Move the decision group together

Sequence the business case, technical proof, security review, procurement path, and executive decision as one pursuit.

10 · Verify

Verify real human commitment

Separate visible activity from decision-making spread, then inspect buyer coverage and risk before calling the forecast.

11 · Forecast

Inspect the forecast

Verify buyer coverage, approval risk, and missing proof before a leader accepts the CRM stage as truth.

12 · Advance

Make the move that closes

Put the route, message, proof, next action, and source trail in the seller’s hands through procurement.

AI In The Buyer Room

AI leaves clues.

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.

Microsoft Copilot

Work-graph grounded

Make the proof easy to retrieve, summarize, and preserve inside the work graph.

ChatGPT

Memory, files, and connected context

Expect direct claim comparison. Cite the evidence and make the decision rubric explicit.

Claude

Project knowledge and long-context work

Keep the full proposal internally consistent and make every important claim traceable.

Gemini

Connected-source synthesis

Use clear source names and structured proof that survives cross-document synthesis.

Grok

Current-web and public-proof oriented

Make public proof current, verifiable, and consistent with the material sent privately.

Bring Us The Pursuit

See what the buyer room—and its AI—still need.

Bring Adrata a forecasted account. Leave with the missing people, proof, route, and next move.

Get a demo  →

Get started here

Live in 24 hours.

Start with one forecasted account. Adrata connects the record to the buyer room and opens the next-move checklist the same day.

01·Day one

Pick the forecasted account

Start with the deal the team cannot afford to lose.

02·Day one

Connect CRM

Bring in the account, owner, stage, history, and activity.

03·Same day

Map the buyer room

Reveal power, missing approvers, blockers, and routes in.

04·Same day

Open the next-move checklist

See the route, message, proof, and next action.

05·Day one

Roll out to the team

Give every seller the same live pursuit context.

Why we started Adrata

We need a system to win the Agentic Buyer.

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.

Common questions

How is this different from a CRM?
A CRM records what happened and stores what the team entered. Adrata helps decide what to do next. It maps the decision system, finds the strongest way in, surfaces missing committee coverage, and explains the next move with evidence. Approved outcomes flow back to the CRM, so the system of record gets better too.
How does Adrata know who matters?
Not from job titles alone. Adrata combines your CRM history, email and meeting context, relationship paths, firmographics, and source-backed research. It separates what is known from what is inferred, shows the evidence behind each role, and lets the seller correct the map as the account changes.
How long does setup take?
Your team can be live in a day. Connect the CRM and choose a critical account; its buyer room, intro paths, and committee gaps can be mapped that same day. Enterprise security review or custom integrations may extend the broader rollout, but you do not need a rollout program to prove value on a live pursuit.
What does it cost?
Adrata starts at $400 per active user per month, billed annually. Final scope reflects active pursuits, integrations, data complexity, governance, and support. Qualified teams can begin with an agreed 3-week Proof of Value with no Adrata platform fee.
Can I trust the next move?
Adrata shows its work. Recommendations carry the evidence, assumptions, and gaps behind them. When the record cannot support a conclusion, Adrata says what is unknown instead of manufacturing certainty. Your team reviews the move before anything happens in its name.
What happens during the 3-week Proof of Value?
Your team gets full access to Adrata on real pursuits. We connect the core systems, map the accounts, work alongside your team, and review the evidence together. At the end, you should be able to judge the product from the work it did—not from a polished sandbox.

Win the Agentic Buyer.

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.