Institutional intelligence for the enterprise
Turn fragmented signalsinto institutionalintelligence.
Give AI a continuously evolving understanding of your enterprise — its context, relationships, decisions and change.
DotIQ helps enterprises capitalize on AI investment — unifying organizational context, correlating the signals that matter, and making change observable before it becomes a blind spot.
01 — The problem
Enterprises are funding AI. Few are compounding it.
AI pilots stay isolated
Models impress in demos and stall in production. Without shared organizational context, every pilot starts from zero — and stays shallow.
Knowledge is fragmented
Critical context lives scattered across tools, teams, and documents. The organization knows far more than any single system can see.
Change happens invisibly
Processes drift, ownership shifts, decisions age. By the time the impact surfaces, the cost of correction has already compounded.
02 — What DotIQ does
Definition
Institutional Intelligence = the living context AI needs to understand how your organization actually works.
DotIQ builds it as a living, structured system — so every AI investment inherits context, every signal finds its relationships, and every important change stays visible.
It does this through three concrete mechanisms: a Context Graph that maps organizational entities, systems, decisions, and relationships; a Correlation Engine that identifies meaningful connections across workflows, signals, and outcomes; and Change Observability that makes important change visible before knowledge and decisions drift.
03 — The platform
Three mechanisms. One institutional memory.
Not three independent tools — one connected system. The Context Graph supplies the structure, the Correlation Engine finds the relationships within it, and Change Observability keeps both honest — feeding drift back into the graph so the system stays current.
Context Graph
Build a living map of how your organization actually works.
Enterprise knowledge is fragmented across tools, teams, and documents — and AI without context stays shallow. The Context Graph structures the relationships between entities, systems, processes, decisions, and business signals, so intelligence becomes reusable across every initiative.
Business outcome
Reusable context for every AI system and human operator — no more starting from zero.
Correlation Engine
Move from isolated signals to meaningful relationships.
Enterprises collect signals but struggle to connect them. The Correlation Engine identifies meaningful connections across events, workflows, decisions, and outcomes — surfacing the patterns that matter before they become obvious.
Business outcome
Disconnected information becomes actionable institutional insight.
Change Observability
See the changes that affect execution before they become expensive blind spots.
Institutional knowledge decays when processes, ownership, or business conditions change invisibly. Change Observability makes drift visible — across systems, workflows, and knowledge — so teams detect impact early and respond before decisions go stale.
Business outcome
Sustained AI performance and organizational alignment, quarter after quarter.
04 — Why it matters
The return on AI is an organizational property.
Institutional intelligence pays out in four concrete ways.
Faster decisions
Decision history and context arrive with the question — not after a week of meetings and message threads.
Fewer blind spots
Drift in process, knowledge, and systems surfaces while it is still cheap to correct — not after it compounds.
More trustworthy agents
Agents act on shared organizational context, not isolated prompts — and every recommendation stays explainable.
Compounding AI ROI
Every model, copilot, and agent inherits institutional context — each initiative makes the next one cheaper.
05 — Product demo
See DotIQ in action.
Explore how DotIQ uses a Context Graph, a Correlation Engine, and Change Observability to turn fragmented organizational signals into institutional intelligence.
Apply as Design Partner06 — Design partners
Build the institutional intelligence layer with us.
We work with a small cohort of enterprises exploring AI maturity — CIOs, CTOs, enterprise architecture leaders, and AI transformation teams who want their AI agenda grounded in how the organization actually works.
Apply as Design PartnerWho should apply
Medium-to-large enterprises with active AI initiatives and the organizational complexity to match.
Why join now
Shape the product around your environment, and build your intelligence layer before the market catches up.
What it includes
Focused pilots across context mapping, signal correlation, and change observability — with direct access to the founding team.
What it requires
Executive sponsorship, candid feedback, and a willingness to build closely with our team.
07 — Founder perspective
“The next great leap in AI won't come from models knowing more about the world. It will come from AI finally understanding the organizations it serves — their history, relationships, decisions, and collective wisdom. That future is Institutional Intelligence. That is why we built DotIQ.”Rajni Sharma — Founder, DotIQ
Founding team
Your perimeter
Deployed inside your security boundary, under your data-residency rules.
Your data stays yours
Never used to train shared models. Full audit trails from day one.
Enterprise controls
SSO, role-based access, and governance aligned to your policies.