For advisors, consultants, founders, and analysts who need research output that’s actually defensible. Multi-agent orchestration, domain-specific skill packs, a coverage critic on every section — and a document at the end you’d put in front of a paying client.
Stacks of books. Expert calls. Weeks of reading per section. A senior team to interpret all of it. The kind of work you billed by the project, not by the hour.
A page or two of summary. Often wrong on the details. Never something you’d put in front of a paying client without a week of editing first.
We built something between those two worlds.
0 days
average partner-time to fix a single thin section before it goes to the client
~$0
average internal cost of one full client-ready research deliverable, by partner time × hours
1 in 0
research deliverables that get pushed back by the client for revisions
For an advisory practice, this isn’t a tooling problem. It’s a margin problem. Every hour of partner time spent re-writing a mediocre AI draft is an hour that could have been billed to a client.
Six steps. Four happen in parallel. No single model is doing all the work.
Captures the brief and clarifies scope
Read your attachments in parallel
Plans the sections
Investigate in parallel
Weaves findings into a draft
Reviews every section before it ships
Client-ready, fully cited
Each pack ships with its own trusted sources, its own section template, and its own house voice. The lead researcher loads the right one for your run.
Audit-grade citations, defensible figures, financial-model literacy.
Primary-source bias, citation chains traceable to original papers.
RFC-style structure, trade-off analysis, vendor-neutral.
Policy-grade language, jurisdiction-aware, compliance-conscious.
Account-research depth, ICP-aware, signal-first.
Brand-aware, channel-literate, audience-segmented.
Citation-rigorous, jurisdiction-aware, precedent-conscious.
Clinical-source literacy, evidence-grade citations, regulatory-aware.
Coming next: Investment & Due Diligence · Cybersecurity & Risk
Five concrete scenarios — sample scenarios from buyers we’ve spoken to this quarter. Illustrative, not live customer averages.
A boutique M&A advisory delivers 15-page target due-diligence packs to private-equity clients.
Before
After
“We now deliver four times the volume to the same client roster, with the same headcount.”
A 12-person strategy consultancy writes weekly competitive landscape briefs for a Fortune 500 retainer client.
Before
After
“We doubled the cadence the client gets without adding a single hour to the consultant roster.”
An in-house finance team at a mid-market manufacturer produces a quarterly industry-benchmark report for the CFO.
Before
After
“We finally have the quarterly cadence the CFO has been asking for since 2024.”
A specialist healthcare advisory writes therapeutic landscape reports for pharmaceutical clients evaluating new market entries.
Before
After
“Margin per report went from break-even to a category we now actively pitch.”
A VP of Strategy at a fast-growing SaaS startup needs a quarterly market-and-competitor scan for the board pack.
Before
After
“We stopped outsourcing this and the quality went up.”
Every research run is a real Kairos document — searchable, mentionable, linkable from your tasks and your chat. The lead researcher can read attachments from your team’s drive. The output lives next to your client deliverables.
Part of the full Kairos Connect platform — including the AI engine and documents it writes into.
Version-controlled, share-linkable, and exportable to PDF or Word — it lives next to your client deliverables.
The lead researcher pulls from your past runs and linked documents — every new run learns from your work.
The chat thread lives right next to the source, so your team reviews where the work is.
When a new deal lands in your CRM, the right pack writes the briefing itself — no one has to start it.
Every claim in the final document is traceable to a source. Every section has a coverage check before it ships. And a human reviews every output before it goes to a client.
Each paragraph carries the sources it draws from. Open the citation, see the original passage.
A separate AI reviews each section against the must-cover bullets. If a section is thin, it loops back — bounded at two rounds, then it stops. No padding. No infinite loops.
Nothing ships to a client without a human review step. The platform makes the review fast; it doesn’t replace it.
You bill by the deliverable. Every hour of partner time you save on drafting goes straight to margin.
You’ve been asked to deliver a research cadence you don’t have headcount for. The platform delivers it.
You stopped outsourcing market scans because the contractors were unreliable. Bring it back in-house.
Healthcare, legal, finance — you need defensible output with traceable citations. The skill packs are built for you.
Running a larger practice? See how teams scale on Kairos Connect for enterprise.
Those tools run one model, in one pass, with no domain-specific tuning. Kairos Connect Research runs a team of AI experts in parallel, with a separate coverage critic checking every section, and a skill pack tuned to your domain. The output is built to be sent to a paying client.
No. It replaces the first-draft work. Your analysts review, refine, and ship — but they don’t write from scratch.
Yes. The lead researcher can pull from your team’s prior runs and your linked documents — every run gets smarter as your library grows.
Each skill pack has its own curated source whitelist. The lead also pulls from open web research. Every claim is traceable to its source in the final document.
Most runs deliver the first useful section in about 6 minutes and a complete client-ready document in 20–30 minutes — depending on the depth tier you pick.
It’s an add-on to your Kairos Connect plan. Pricing is per seat; talk to us for the specific number based on your team size and use case.
A polished document with executive summary, body sections, a citations table, and an appendix. Export to PDF, Word, or a share-link. Every paragraph is traceable to its sources.
Yes. Your data is stored in the EU by default — and where local regulations require it, in your own region instead. It’s never used to train any model, and it’s encrypted at rest and in transit.
Talk to our team. We’ll run a live research demo on a brief from your actual practice, walk you through the skill pack that matches your domain, and answer every question on this page in detail.