DigiTeam Labs
DigiTeam Labs · digilens

See your whole sales reality.

Deep analysis of your business data — a 360° view of every customer, the archetypes your deals fall into, and the metrics that actually run your sales.

What it produces

Three views of your sales, from one engine.

Customer 360

Every account fused into one profile from four signals — the full picture behind each deal.

WHO

Company shape

Industry, size, funding, tech stack, growth stage.

HOW

Engagement

Meetings, calls, emails, response cadence — who's warming up, who only looks alive.

WHY

Pain & intent

Read from your own notes and calls — the story behind the activity.

ROOM

Buying committee

Who's in the room, seniority mix, missing personas — can this deal actually close.

Deal archetypes — patterns, won and lost.

Your deals cluster into an ideal-customer-and-offer combination with a real win rate, from won and lost alike. They range from high-win to loss-prone — so you know which to chase and which to skip.

Metrics that run your sales

Every account scored and tiered, with win rate, time-to-close, and deal size per tier. Explainable — you see why, not a black-box number.

How it works

A managed ML pipeline on your data.

Schema discovery

Read your business-data schema, census the data quality, map it into a clean Customer 360.

Feature engineering

Turn raw records into signals: firmographic, behavioral, language read from your own notes and calls.

Predictive model

Score and rank every account; one model for accuracy, one for explainability — reasons, not a black box.

Knowledge documents

The curated outputs your team + agents reason over: ICPs, archetypes, competitive intel, playbooks.

Without it, AI gives generic advice. With it, it works like a subject-matter expert on your business.

Runs on your own data — never resold, never shared, or used to train shared models.

Example

What the archetypes look like.

Deal archetypes
Corva (fictional example vendor) · ranked by win rate
Synthetic example
High-win
Accelerator graduate

Capture + Intelligence

82%

96 deals · $14K · 21d

program ending · tool repricing · founder-led

Field-service ops

Capture

76%

130 deals · $22K · 34d

field crews · manual reporting · ops owner

Pre-Series-B scaler

Intelligence

71%

74 deals · $18K · 28d

raising soon · hiring frozen · experiment-ready

Loss-prone
Enterprise evaluator

Data Platform

12%

58 deals · $70K · 180d

security review · Snowflake / in-house · procurement

Illustrative — real archetypes, win rates, and signals come from your own data.

Built on DigiLens

DigiLens is the engine. Point its intelligence at a problem, and it becomes a product:

DigiWinBack

Recover the revenue you already lost. Mine closed-lost for the deals worth reopening, ranked with the play.

See DigiWinBack →

DigiRadar

Market what actually wins. Turn what wins in your pipeline into content that gets found and cited.

See DigiRadar →

DigiBDR

Product ↗

Our AI SDR: learns from your winning and losing archetypes to build campaigns that book the right meetings.

Visit DigiBDR ↗

And directly: prioritize the pipeline · find lookalikes of who you win · pre-brief every call · forecast on leading signals.

Order any of the three, and DigiLens comes included — free.

Book a meeting
Works with your agents

Built to be called by AI.

ClaudeCoworkPerplexityOpenAI Codex …and more

DigiLens ships an MCP server (every DigiTeam product does) — so any agent can reason over your Customer 360, deal archetypes, and win-rate scores on demand, right where your team works. (MCP = the standard agents use to call outside tools.)

One server, any agent — your data stays yours.

Next step

Start with a look at what's already in your business data.