Riya
Account Scout
AI teammate · Scout · Agentic loop
Give Riya an account and she builds its working file: the people around the decision, the seats they can credibly fill, the evidence for each match, and who is actually reachable.
About RevQ
Building the account system we wanted sales software to be.
RevQ is built by Creator Labs in Bengaluru. We’ve run founder-led outbound ourselves: the list-building, the shallow personalization, the isolated sequences, and the account that goes quiet because nobody could see which voice was missing from the decision.
So we are building around the real object: the account. RevQ researches why it should move, maps the committee required to move it, coordinates each stakeholder from the same evidence, understands what their replies change, and carries the opportunity to the meeting.
What we refuse to compromise on
Rules in the engine, not the pitch.
The account is the unit
A contact is one participant in a decision. Research, qualification, committee coverage, cadence, replies, and the opportunity have to agree at the account level.
Evidence is the boundary
A signal needs a source. A seat needs a role match. A score shows its arithmetic. A claim comes from the company file or delivered work, never from the confidence of a model.
Spending is a decision
Paid research begins from an explicit action with cost visible. Known records are reused first, and the scorer never calls a data provider while judging what is already on file.
How it came together
How the account system took shape.
The product moved from campaign automation to a connected account, committee, conversation, and proof system. Each milestone is on the record in the changelog.
Jun 28, 2026
Foundation in a day
Multi-tenant accounts, the guided campaign wizard, and a first working cut of every core surface.
Jun 30
It runs itself
The engine heartbeat: sync replies, advance the cadence, and send what's due across email, WhatsApp, and LinkedIn.
Jul 1–4
It finds buyers and books meetings
A discovery agent that searches the open web for companies with a reason to buy now, and a reply loop that drives to a booked call.
Jul 5–6
The Conversation Agent
Replies stopped being handled one message at a time. The agent reads the whole thread, remembers, and acts on every intent.
Jul 7–8
A name: RevQ
Costs metered per lead, an admin console, real observability, and a name: the revenue queue that fills itself.
Jul 9–13
Judgment-first, hardened
A platform-global data layer, profiles that show every fact they hold, and guardrails verified against production.
Jul 22–27
The account world
Your documents became a capability library, and accounts became the unit: researched from the open web, scored against your own weighted signals with the arithmetic showing, committees mapped, and the people worth reaching unmasked and filed as contacts. One button, price stated first.
Aug 2026
The committee becomes executable
Account qualification now fans out only to filled, reachable committee seats. Reply intelligence can change contacts, coverage, cadence, opportunity, and calendar, while delivered work becomes source-backed case-study proof.
The agent system
Meet the seven AI teammates you hire.
One RevQ workspace brings the whole team. Riya finds who matters, Arjun finds where to look, Maya shapes the message, Nikhil handles the reply, Tara gets the meeting booked, Dev builds the proof, and Noor tells you where human judgment matters next.
They are humanized AI personas, not human employees. Underneath the names, Riya, Arjun, and Nikhil run as tool-using agentic loops today; the other four are bounded workflows and operating views. All seven work from the same account evidence and state.
Arjun
Market Radar
AI teammate · Radar · Agentic loop
Arjun keeps the top of the funnel honest. He searches for accounts that fit for a reason that matters now, keeps every source, and rejects candidates the evidence cannot support.
Maya
Message Strategist
AI teammate · Pitch · Bounded AI workflow
Maya translates one account truth for every person around the table. Each touch draws from the recipient's seat, the why-now evidence, relevant proof, and the narrative already used with them.
Nikhil
Reply Analyst
AI teammate · Echo · Agentic loop
Nikhil listens before he acts. He reads the whole thread, remembers facts, asks, objections, and preferences, then turns every intent into one safe, coherent account plan.
Tara
Meeting Coordinator
AI teammate · Booker · Execution workflow
Tara owns the last mile to a real conversation. She reads live availability, proposes viable times, books the accepted slot, and handles reschedules or no-shows without losing context.
Dev
Proof Builder
AI teammate · Closer · Bounded AI workflow
Dev makes your delivery history sell without exaggeration. He turns verified project facts and assets into audience-specific case-study decks with source tags, review, and PDF.
Noor
Daily Chief of Staff
AI teammate · Brief · Operating view
Noor protects your attention. They surface the few account moves that need human judgment while completed work, meetings, costs, and exceptions stay traceable behind the brief.
The founding team
The people behind it.
Bengaluru · Creator Labs
Come say hello.
Questions about the product, early-customer pricing, or a campaign you want to run? We read everything.