Bid writing and tender consultancies: the submission machinery runs itself, and the outcome data becomes the asset.
Knowing what a specific evaluator rewards - and recognising the tender that is already written for the incumbent - is the judgment clients actually pay for. Everything downstream of that decision is production work.
Buyer instinct: how this authority scores, what the evaluation panel is really looking for, and when the honest answer is do not bid.
Requirement extraction, compliance matrices, first drafts, reference selection, pricing schedule assembly, portal watching.
Your win patterns become the system’s scoring model: the software drafts and checks, your writers shape the argument.
Not a chatbot in your inbox. Whole workflows in production - across every person and system they touch - on one layer that the next workflow reuses.
A tender pack in, a complete requirement and compliance matrix out, cross-referenced to the response structure. Today that is a day or two of reading before anyone writes a word.
Each opportunity scored against your historic win patterns - buyer, lot size, scoring weights, incumbent - so the qualification call is made on evidence in an hour, not a meeting.
Answers drafted from your own approved answer library, mapped to the question and the word count, instead of a writer hunting the last similar bid.
The right case studies and referees chosen per bid on relevance and recency, rather than whichever ones the team remembers.
Schedules assembled and checked for internal consistency against the narrative - the arithmetic pass that currently happens at midnight before submission.
National and EU procurement platforms watched continuously, with matching notices filtered to the ones worth a qualification decision.
Feedback and scores captured into structured win/loss data as each award lands - so the record that should be your moat stops living in folders.
A bid platform for companies that bid regularly but cannot justify a bid function: opportunity matching, compliant first drafts, and a score prediction built on your actual win history. They get a bid team at software prices. You get recurring revenue from the segment your day rate cannot reach.
Revenue from regular bidders who would otherwise submit unaided - without discounting the consultancy work you already sell.
A content engine can be rebuilt. Outcome data on which answers actually scored, with which buyer, cannot.
Platform users hitting a bid that matters arrive at your desk already using your method and your library.
AutogenAI raised $22.3M and then a $39.5M Series B led by Salesforce Ventures, and now serves more than 200 organisations. One of its clients, a $2.5B construction group, increased submissions by 96%, added $25M in revenue and held a one-in-two win rate. The market is there: UK public procurement alone runs at roughly £300bn a year, and large bidders spend up to £100M annually on bidding. What none of those platforms has is a record of which answers actually scored.
Code, models, prompts and runbooks transfer to your firm. If we disappeared tomorrow, the system keeps running.
The second workflow costs a fraction of the first, because permissions, integrations and audit trail are already built.
Human-approved gates, evidence on every output, separation between client libraries, ISO 27001 and GDPR alignment, deployable in your own environment.
Our engineers sit inside your practice until it runs - then your people build on it, not just operate it.
We invest €50,000 of engineering into one real process inside your firm. Two minutes to apply, twenty to find out if you are a fit.