Three operators. Not thirty.
We're deliberate about who we work with. Three segments where our depth, our patterns, and the founder's background compound. Outside these, we say so on the intake call.
Marketing, accounting, law, consulting, research firms.
Read the fit →Real product, real revenue, no dedicated AI team.
Read the fit →Document-heavy operations bottlenecking throughput.
Read the fit →Professional services
Senior time is the constraint. Partner-hours don't scale linearly. Every hour a senior spends on first drafts or research synthesis is an hour they aren't selling, advising, or shipping the next deliverable. First ship usually rewires research synthesis, deliverable production, or client communications.
Fit signals
- Senior or partner time is being burned on first drafts and synthesis
- You have a recurring deliverable cadence (briefings, research, proposals, reports)
- Internal documents, past deals, and SOPs are scattered across tools
- An internal owner exists who can adopt and run a new workflow
Anti-fit
- You want client-facing AI features for end-users (we're internal-ops focused)
- Senior time is not actually the bottleneck
Signature use cases for this segment
| "Senior time burned on research synthesis before every deliverable." | Daily intelligence briefing across topic clusters, plus a client research skill that drafts a brief with cited sources from the index |
| "Brand voice consistency across multiple personas." | Per-persona voice guidelines with post-write voice sweeps; drafts ship in voice or get rejected |
| "Pipeline lives in a markdown file nobody else can use." | Per-opportunity files plus SQLite index plus auto-generated rollup, founder-vacation-survivable |
SaaS / tech startups
Either you're adding AI features to the product, or internal ops are eating founder and operator time that should be on the product. Buyers are founders, heads of product, or heads of ops. Budget comes from product or ops line items, not a separate AI line.
Fit signals
- You have a product and revenue but no dedicated AI team
- Internal ops automation gaps are slowing the product team down
- You want to ship a customer-facing AI feature without a 6-month build cycle
- Founder or head of ops can be the internal owner
Anti-fit
- Pre-revenue or unfunded; your problem isn't ops, it's product-market fit
- You want a vendor to license a SaaS product to you (we configure an operating platform you own, not a product you rent)
Signature use cases for this segment
| "Founder spends two to three hours every morning on industry scanning before product work." | Daily intelligence briefing across keyword clusters, lab channels, signal accounts; relevance-ranked, deduped, with citations |
| "Customer support and meeting prep eat operator hours." | Operator copilot embedded in your existing tools, narrow-scope, keyboard-first |
| "No measurement floor under your AI experiments." | Schema, metric dictionary, telemetry, and ledger layer that makes every other AI experiment measurable |
Manufacturing / industrial / engineering
Quoting, compliance, field reporting, R&D resource planning, risk modeling. A few experienced people produce documents that drive everything downstream. Long sales cycles, large engagements, sticky outcomes. Buyer is a VP of Operations or Engineering. The founder's background here is real: nuclear and mechanical engineering, time on industrial manufacturing floors at Babcock & Wilcox and ABS Group.
Fit signals
- Document-heavy operations where a few people produce work that drives everything else
- Quoting, compliance, RFQ/RFP response, technical reporting, or R&D resource planning is a bottleneck
- Regulatory or audit-trail requirements (SOC-2, NAIC, FDA-adjacent, etc.)
- VP of Operations or Engineering owns the buy
Anti-fit
- Heavy machinery / shop-floor automation (we're document and decision work, not control systems)
- You need a CAD or PLM integration as the primary work surface
Signature use cases for this segment
| "Quarterly R&D resource profile takes three weeks of manual spreadsheet work and errors slip through." | 8-step automated pipeline replacing the manual cycle; multi-week to one-day turn (Fortune 500 R&D engagement) |
| "Quoting cycle is the throughput ceiling for the business." | Pipeline retrofit with a model in the middle, instrumented sign-off, audit-trail your auditor can read |
| "Field reports and compliance documentation eat engineering time." | Knowledge interface anchored to your standards and prior reports; drafts come back cite-able |