WoodClaw — B2B commercial intelligence platform

The same company looks different depending on who's asking.

A sales rep wants to know if they're a buyer. A procurement officer wants to know if they're a supplier. A marketer wants their positioning. Most company-research tools answer one of those questions — or worse, a generic version of all four. WoodClaw runs the right analysis for the role and the workflow you actually need.

How it works

A WoodClaw run is specified by three orthogonal choices: the agent's analytical lens, the deliverable's shape, and the industry context. The brief is tailored to all three.

Pick the agent

Each agent is a Claude-powered analyst with a defined brief. Sales evaluates the target as a potential customer; Procurement as a potential supplier; Marketing analyses outward positioning; General Research produces a neutral, source-cited factual snapshot.

Pick the workflow

The workflow determines what the agent produces: Quick Lookup, Research Brief, Fit Assessment, Outreach Draft, or RFQ Draft. The agent supplies the lens; the workflow supplies the deliverable's depth and structure.

Pick the industry preset

Sector knowledge lives in pluggable presets. Generic B2B (default) works across sectors. Authored presets like Wood / Furniture Showcase encode vertical depth — species, certifications, regulatory triggers. The platform is industry-agnostic at the code level; only the preset changes.

Four specialised AI coworkers.

Each agent applies its own lens, prompt, and scoring logic. Pick the one whose question matches yours.

🎯

Sales Agent

Could this company become a customer, lead, or commercial opportunity? Buyer-fit signals, publicly discoverable role-related contacts, recommended next step.

📣

Marketing Agent

Positioning, messaging tone, audience, competitive signals — useful for campaign briefs, competitive intel, and board updates.

📦

Procurement Agent

Could this company supply us? Capacity, certifications, lead times, regulatory readiness, risk notes.

🔍

General Research Agent

Neutral factual snapshot with explicit unknowns and source URLs. No "us vs them" framing.

Five workflows.

The agent picks the lens; the workflow picks the deliverable shape. Outreach Draft and RFQ Draft only run when explicitly selected.

Quick Lookup

150-word factual summary + sources. Use for fast triage.

Research Brief

1-page narrative tailored to the agent's lens. Use for decision context.

Fit Assessment

Scored across 4 fit dimensions (signal · category · actual fit · access) + tier + recommended next step.

Outreach Draft

Only generated when explicitly selected. Use when ready to engage.

RFQ Draft

Procurement-only, never auto-generated. Use when sourcing a specific need.

Industry presets.

All sector knowledge lives in plug-in presets. Swap four Markdown files to fit your sector — no code changes.

Available now: Generic B2B Wood / Furniture Showcase

Each preset is four Markdown files — company profile, products, scoring rubric, outreach template. Add a folder under presets/ and your sector appears in the sidebar.

Demo examples.

The platform's value is most visible when you run the same company through different agents. Three scenarios:

Siemens Energy through four lenses

Same company, four briefs, none generates outreach unless asked. The Sales answer, the Marketing answer, the Procurement answer, and a neutral Research snapshot all diverge — and all cite their sources.

Lavazza for an export coffee broker

The Sales and Procurement lenses disagree productively about whether Lavazza is a customer or a supplier candidate. The Marketing lens reveals their consumer brand vs. their B2B reality.

Wood / Furniture Showcase

Juodeliai with the Procurement Agent shows how deep an authored sector preset can go — species-aware scoring, FSC + EUDR detection, dimension matching, and honest hard-filter rejection when the supplier's catalog doesn't match the operator's spec. Realistic tiering, no false positives on big visible names.

What an output looks like.

A Fit Assessment from the Sales Agent. Four fit dimensions, sourced research, source-quality rating, and a recommended next step.

Sales Agent · Fit Assessment · Generic B2B preset

Target:           Siemens Energy (Germany, listed)
Lens:             Sales — buyer-fit
Snapshot:         Power-grid + gas/wind technology; ~103k employees;
                  spun off from Siemens AG (2020); €39B revenue FY25.
Buying signals:   Grid-modernisation backlog; AI / data-centre demand
                  driving record orders; SAP Ariba supplier portal live.

Fit breakdown:    Signal density       5 / 5
                  Category specificity 2 / 5
                  Actual fit           3 / 5
                  Access difficulty    1 / 5  (closed enterprise; gated procurement)

Tier:            4  —  interesting but not actionable cold this quarter.
Next step:       Park; revisit when a warm intro to a category manager
                  or sector-specific RFP signal emerges.

Source quality:  High — backed by FY25 earnings release + Reuters;
                  Wikipedia used only for background orientation.

Outreach:        (Outreach not requested for this run.)

What WoodClaw is — and isn't.

WoodClaw works from publicly searchable information. It does not access paywalled databases, proprietary CRMs, or private supplier directories. Key factual claims are supported with source URLs where available, and each brief reports overall source quality so you know how much weight to put on its claims. Outreach is only drafted when you explicitly request it.

Early-stage MVP focused on public-source company research and first-pass decision support. Not intended to replace professional due diligence or human business judgment.

Four AI agents. One company.
Four business perspectives.