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RevOps studio for complex account-based sales

We fix your CRM data, build the AI agents, and ship the internal tools your reps actually run on.

What we shipped

Six weeks inside Kewazo, a Series A industrial-robotics company

LinkedIn coverage

60%90%+

Subsidiary resolution + LLM name matching

ICP scoring coverage

15%100%

Custom industrial-title taxonomy shipped

Conference prep

50 min3 min

Per contact · 60-meeting industry conference

Reply rate

0% generic20–25%

Outreach relevant to the rep’s own region

The problem.Their reps sold into a small set of enormous accounts, each operating dozens of plants with thousands of stakeholders. CRM titles stale by 1–3 years. The same employer stored under multiple aliases. A/B/C tiering was hard to trust.

What we shipped. Four interlocking projects in six weeks.

01

Data Foundation

LLM-driven subsidiary resolution and live LinkedIn verification across their top accounts. 202 contacts recovered from the “unreachable” bucket. 500+ net-new ICP-A contacts surfaced.

02

Site-intelligence tool

Every plant became its own record: the right people, projects, and ICP coverage. Map view replaced manual region lookup. Built to host a structured project database.

03

Claude Code automations

Claude Code skills for repetitive admin work: conference notes, batch enrichment, event follow-ups. ~30 min/day per admin.

04

Gary, the Slack AI agent

Field notes in #sales-updates logged as CRM records. Business-card photos from conferences (~150 cards/pass) matched and logged. In-channel answers ("@gary what’s our status on Dow Freeport?").

Read the full Kewazo case study →

What we build

From accurate account data to rep action

An engineering team for the account data, workflows, and internal tools your sales motion runs on. Built on Extruct DB, our real-time company database.

IDATA

Clean accounts in your CRM

Built on Extruct DB. A clean, deduped, normalized account and people layer that reflects the org you’re selling into.

01

Account hygiene

The same employer stops showing up as three companies.

  • LLM-driven entity resolution. “IBM”, “IBM Corp”, “I.B.M.” merge to one record. Red Hat resolves to its IBM parent.
  • Drift detection as orgs change (M&A, rebrands, restructures), so the merge holds over time.
02

Custom account enrichment

Your ICP scoring runs on real signal.

  • Whatever signal qualifies an account in your motion: regulatory state, facility events, asset ownership, headcount-by-function.
  • Public-web data translated into structured CRM fields and intent signals, shaped to your ICP and motion.
03

Account mapping

Reps know every name that matters, in seconds.

  • Every employee at the account, mapped and tiered A/B/C against your ICP. Including the 90% not in your CRM.
  • Job titles and reporting structure normalized. “VP Procurement” and “Head of Sourcing” resolve to the same role.
  • Verified emails and phones via a 20+ provider waterfall.
04

TAM expansion

Your TAM grows past what reps could find by hand.

  • Deep search and lookalike on Extruct DB, plus custom scraping per engagement. Surfaces accounts that aren’t in any standard list yet.
  • Filtered against your scored ICP.
IIWORKFLOWS

Live workflows on your data

Turn the data layer into a sales motion. Signals route to the right rep with context attached, deal risk surfaces before it’s lost, sequences fire when accounts move.

01

Signal automations

Reps know the moment your accounts move.

  • The signals that matter to your motion: regulatory shifts, facility events, hiring spikes, deal moves, account news, intent. Pulled from wherever they live, including open-source.
  • Routed to the rep who owns the account, with the context to act. Slack, email, or CRM task.
02

Automated pipeline reviews

Risks surfaced while they’re still fixable.

  • Methodology compliance per deal: MEDDIC, Sandler, or your custom playbook.
  • A single feed of alerts for stalled opportunities and deals at risk, drawn from CRM activity and the signal layer.
03

Triggered outbound

Outbound that fires on signal, in your voice.

  • Triggers fire from the data and signal layer the moment an account moves: job change, deal shift, regulatory filing, hiring spike.
  • Each prospect researched against your CRM, value prop, and ICP. A research brief lands with each draft.
  • Voice-tuned copy. Plugs into Outreach, Salesloft, Apollo, or custom.
IIITOOLS

Custom tools where reps work

Once the data and workflows are running, we build the tools your reps use every day: Slack agents and bespoke internal software.

SLACK ASSISTANT

Ask your CRM in Slack

A Slack AI agent that reads your live CRM, calls, and deal history. Reps pull 24-hour outreach reports, deal summaries, stalled-opp lists, or pre-call briefs without leaving the channel.

CUSTOM INTERNAL SOFTWARE

Bespoke tools for the way you sell

Account briefs, depot maps, territory pickers, conference prep boards, deal rooms with the right people pre-pinned. Internal tools no SaaS vendor sells, because your motion is shaped weird and category SaaS averages it away. Built on the same data and workflow layer, so the source of truth is shared.

Custom internal account view for an industrial customer: operator profile, depot map, people grouped by function and depot

How we work

Begin with a 6-week pilot

From $10,9006-week pilot · embedded team · daily standups

Embedded daily through the pilot. Six weeks to ship the fundamentals, then we stay on as your motion evolves.

Week 1

Kickoff

  • Audit your CRM, scope against your sales motion.
  • First cleanup batch ships by Friday.
Weeks 2–5

Build

  • 30-min daily standups. Async builds. Weekly demos.
  • Scope adjusts from what we find.
Week 6

Debrief

  • Results readout. What worked, what is pending.
  • You keep the code and data. No lock-in.
Week 7+

Continue

  • Monthly engagement.
  • Scope and pace depend on your roadmap.

Why we’re building this

The problem isn’t a lack of tools. It’s that work is spread across them

We spent two years building AI for GTM lead generation. The workflow matters more than the tool.

Companies run work across broken interfaces. Rules in one place, status in CRM, decisions in Slack, context in email, truth in someone’s head.

Then AI arrives, and we pretend “connecting tools” is enough. It isn’t. Until the data, the workflows, and the tools sit under one team, the work stays scattered.

That’s why this studio exists.

Dima Persiyanov

Co-founder · Engineering

Dima Persiyanov

  • 10+ years of production ML, data engineering, and NLP
  • Co-founded Condukt, a Lightspeed-backed KYB API
  • Now building the plumbing behind Extruct: search, data, AI agents
Danny Chepenko

Co-founder · GTM

Danny Chepenko

  • Bootstrapped SpatialChat to $5M+ ARR (acquired)
  • Built the data platform behind inDrive Corporate VC
  • Now scopes and runs Extruct customer engagements end-to-end
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