Everything from thesis to term sheet

Search the UK Companies House register by name or number. Profiles sync on demand, so you're looking at the register rather than a stale copy of it.

Officers, persons with significant control, charges, filing history, and a timeline of what changed and when — each with its source and date.

A ranked feed of what moved across the companies you care about: new matches, improving and deteriorating scores, ownership and financing signals.

Define revenue, sector, geography, ownership, age, and other criteria as hard filters, soft preferences, or exclusions. Write it in plain English and have it parsed into structured criteria for you to confirm — you always approve before it takes effect.

A 0–100 fit score computed by a rules engine, never by a model. The same inputs always produce the same score, and the breakdown sums to exactly 100 so every point is accounted for.

Change your Buy Box and previous scores aren't silently rewritten — each score records the Buy Box version that produced it, so you can see why a score moved.

New charges, officer appointments and resignations, PSC changes, filings, and financial deterioration are detected, deduplicated, and ranked by severity.

Group companies you're tracking, annotate them, and see signal activity per list rather than as one undifferentiated stream.

A per-company answer to “what happened since I last looked”, and a plain explanation of why a score moved when it did.

Revenue, profit, assets, debt and more, extracted from filed iXBRL accounts — with provenance for every figure, reported values kept separate from calculated ones, and missing data marked unknown rather than zero.

Put candidates side by side on financials, ownership, signals, and — with a Buy Box selected — fit, so the comparison is against your criteria rather than in the abstract.

A checklist across eleven categories, with status, notes, and an owner per question. Smart Diligence Priority ranks what to ask first from the company's own failed criteria, signals, and financials.

Assistants and memo drafts are written from facts already in your workspace. AI explains results; it cannot compute a score, an eligibility decision, a financial figure, or a signal's severity — that boundary is enforced in the software, not just in policy.

Generate a structured memo from a company's real data and export it as Markdown. Every figure traces back to something on the record.

Move targets through stages, assign tasks with due dates, and keep an activity log of what happened on a deal and who did it.

Notes and documents attached to a deal, scoped to your organization and enforced at the database level so another tenant structurally cannot read them.