Tacit OS · The operating system for expert judgment
Your institutional memory
shouldn't walk out the door.

EXOS is the governed AI workspace that captures your organization's expert judgment, coordinates it across teams and tools, and turns it into a compounding institutional asset — so your best thinking doesn't leave when your people do.

For technical buyers: Read the architecture
EXOS
Live engagement · Portfolio diligence
Tacit patterns matched from prior deals
47 signals
Sub-agents running in parallel
3 active
Governed knowledge assets in context
284 assets
Prior engagements informing this one
12 transactions
Built for
Healthcare systems
Manufacturing operations
Private equity & portfolio ops
Regulated government programs

Work is done.
Knowledge evaporates.

Every knowledge-intensive organization faces the same structural failure. Three compounding problems — and no existing tool addresses them together.

01 / 03
Tacit knowledge leaves
Your most valuable expertise lives in people's heads. Every departure, every rotation, every team transition takes irreplaceable judgment with it. Reasoning patterns built over decades disappear in a two-week notice period.
02 / 03
Context pollution compounds
Years of accumulated documents have no versioning, no trust hierarchy, no way to distinguish the authoritative from the outdated. AI treats every file as equally valid. The more knowledge you have, the worse it gets.
03 / 03
Coordination stays manual
Complex work requires multiple teams with different domain expertise — strategy, legal, finance, operations. There is no layer where their knowledge coordinates. Humans bridge the gap in meetings, at enormous cost to speed and quality.

Five outcomes
the platform produces.

These are the outcomes Tacit OS exists to produce — the durable shifts that happen when institutional knowledge becomes a governed asset instead of a dependency on who stays and who leaves. Every feature of the platform maps back to one of them.

01
Institutional memory preserved
Expert judgment stays in the organization when people rotate, retire, or leave. Every decision, every reasoning pattern, every hard-won insight captured and governed.
02
AI that thinks like your organization
Agents already know the methodology, client history, and constraints. Not a generic chatbot. AI that operates inside your actual operating model — not around it.
03
Multi-team knowledge coordination
Strategy, finance, legal, operations — working from a shared, governed knowledge layer. No more siloed expertise. No more coordination gaps bridged by meetings.
04
Methodology that compounds
Every engagement makes the next one better. Templates improve with each use. Your best practices become the default starting point, not the exception.
05
Audit-ready provenance
Every output carries a full chain of custody. What knowledge informed it, who reviewed it, what was AI-generated versus human-approved. Critical for regulated industries.

A system of judgment,
not a system of record.

EXOS sits between your existing tools and the work that requires thinking. M365, Salesforce, matter management — they keep running. EXOS is where their knowledge gets contextualized, reasoned over, governed, and turned into outputs that carry full provenance.

Architecture · The data hierarchy
01 · Organization
Identity
Governance
Trust hierarchy
02 · Team / Function
Service line
Methodology
Agent config
03 · Client / Project
Engagement history
Client context
Scope
04 · Workspace
Ideate
Plan
Execute
Package
Assist
05 · Task
Inputs
Context
Reasoning
Output
Engine · Tacit Knowledge
Signals
Patterns
Provenance
Five operating modes · AI mission control
I
Ideate
Hypothesis generation inside full project context
P
Plan
Task-mapped engagement plans that become reusable templates
E
Execute
Async multi-agent coordination governed at creation
P
Package
Evidence-linked deliverables — full provenance on every claim
A
Assist
Engagement-aware ongoing intelligence across the workspace
More depth coming. A dedicated Product section with full architecture, modes, integrations, and technical specs is in development. In the meantime, request the architecture brief.

Built for where
judgment is the work.

The pattern is consistent across every knowledge-intensive sector: expert judgment is the scarce resource, knowledge loss is the structural failure, and coordination is the unsolved problem.

01 · Healthcare
Healthcare
COO · CMO · VP Quality
"Our clinical expertise doesn't survive team transitions."
Protocol development, regulatory submissions, quality improvement, and clinical decision support — governed by the judgment of your best clinicians and compounded across every engagement.
02 · Manufacturing
Manufacturing
COO · VP Operations · Chief Engineer
"Engineering knowledge walks out when our experts retire."
Operational excellence, process design, and quality systems — with the tacit knowledge of your most experienced engineers captured, governed, and deployable across facilities and teams.
03 · Private Equity / VC
Private Equity / VC
Operating Partners · Portfolio Ops
"Every diligence starts from scratch."
M&A readiness, portfolio operations, and investment strategy — with accumulated deal judgment informing every new transaction. Your best operating partners' patterns available to every deal team.
04 · Government
Government
Program Directors · CDO · Agency CIO
"Institutional memory disappears with every administration."
Policy analysis, program evaluation, and inter-agency coordination — with governance and audit trails built in by default. The accountability model regulators require, the intelligence leaders need.
For technical buyers

AI that operates inside your governance model — not around it.

If you're the person who has to sign off on how AI touches your data, this is the part of the page written for you. EXOS was architected from the start for buyers in healthcare, financial services, regulated industries, and government — where governance is the adoption gate, not the afterthought.

When work ends,
the system stays.

The platform's engagement memory layer lets your team query why decisions were made, what assumptions drove the recommendations, what changes if variables shift. Evidence-linked deliverables. Live change propagation. A traceable logic chain that survives the people who created it.

The artifact you keep isn't a static deck. It's a governed, queryable system your team owns.

Engagement memory · Healthcare M&A
Recommendation: Consolidate OR scheduling
→ evidence
Informed by: 3 prior engagements
cross-linked
Assumption: 23% block-time utilization
editable
Source: Q3 OR utilization report
authoritative
Reviewed by: Dr. Chen · Mar 2026
human-approved
Engagement philosophy

How we work

01
First principles. We start from the actual problem, not the available solution.
02
Speed is our moat. We move at the pace of consequence, not the pace of process.
03
Product is culture — what we produce reflects who we are.
Get Started

Your best people's judgment
should outlast them.

Request a pilot — not a demo. We'll stand up a real workstream on your real knowledge, show you what compounds, and hand you the governance artifacts at the end. You'll know within the engagement whether this belongs in your operating model.