Execution intelligence for engineering organizations.
Teams with AI move too fast for tickets. InteliG plugs into your systems and shows you how your team is actually executing — from strategy to code to cost to outcome.
Built by a CTO who inherited 20 engineers and had zero visibility.
You have the data. You don't have the answers.
Your tools record everything. None of them connect anything.
Teams execute too fast for tickets. InteliG builds the execution graph directly from the source.
Data everywhere. Answers nowhere.
Strategy
Q2: Reduce fraud by 30%
Initiative
Fraud Detection System
Meeting
Architecture review — 3 action items
Commits
34 commits · 3 repos · AI-scored
Pull Requests
12 PRs merged · 2 action items closed
Cost
$142k engineering effort · 3 contributors
Outcome
Fraud reduced 28% · ROI: 3.2x
They give you dashboards. We give you the execution graph.
Meet CognisFive pillars of execution intelligence.
Every pillar feeds the execution graph. Cognis reasons across all of them to give you answers no single tool can.
Cognis
The reasoning engine
Ask anything about your engineering org. Get evidence-backed answers that connect code, people, strategy, and cost in one reasoning chain.
"Who are my top developers and who should I be worried about?"
- Evidence-backed reasoning with citations
- Cross-domain synthesis in one answer
- Proactive findings — it tells you before you ask
- Decisive verdicts, not hedging
Strategy
Intent → Execution → Outcome
Connect what you said you'd build to what actually shipped. See which initiatives are on track, which are drifting, and where effort is misaligned.
"What initiatives are we actually making progress on?"
- Vision and roadmap tracking
- Initiative drift detection
- AI agent sets up code-to-initiative linking
- Investment vs. outcome mapping
Code Intelligence
What actually happened
Every commit scored, classified, and connected. Know who shipped what, how much is bugs vs. features, where PRs are stuck, and which repos are dying.
"How much time are we spending on bugs vs features?"
- AI-scored commits with impact ranking
- Work type classification (features, bugs, refactoring)
- PR bottleneck detection
- Repository health and ownership risk
Knowledge
What was decided and why
Decisions happen in meetings. We extract them, track them, and connect them to code — so institutional memory survives.
"What decisions were made and what's still unresolved?"
- Meeting transcript intelligence
- Decision extraction and tracking
- Action items that auto-close when code ships
- Institutional memory that compounds
Finance
What it costs and what it's worth
Connect engineering activity to cost and ROI. Know who delivers the most value per dollar and where you're burning budget with nothing to show.
"Who should I consider cutting?"
- Contributor ROI ranking
- Cost per PR, commit, and initiative
- Budget vs. actual tracking
- Investment-to-outcome analysis
Not just intelligence. An operating layer.
Teams execute too fast for tickets. InteliG runs the loop — meeting to sprint to code to closed. No forms. No boards.
Capture
Meeting syncs. Decisions and action items extracted automatically.
Plan
Sprint goals by initiative. Code linked to strategy. No tickets.
Ship
Commits scored and linked. Action items close when code lands.
Capture → Plan → Ship → Repeat. No tickets. No boards. No busywork.
Not a chatbot. A reasoning engine.
Cognis connects your code, meetings, strategy, and cost to answer the questions that actually matter — with evidence, not opinions.
Every claim has evidence
Links to source data you can verify. No hallucination.
Connects every domain
Code + meetings + strategy + cost in one answer.
Verdicts, not vibes
Direct answers you can defend in any leadership meeting.
Dashboards show activity. We show execution.
Developer analytics tools chart what already happened. Execution intelligence connects strategy to code to cost to outcome — then tells you what to do about it.
They give you dashboards to interpret.
We give you execution intelligence you can act on.
Why I built InteliG.
I don't build unless there's a real need. I'm a CTO. I know the need.
Day one, you're blind. You inherit 20 engineers and half a million in payroll. You can't see what's happening.
Jira is expense reports. GitHub is the general ledger. Everyone's making decisions off the wrong system.
No real KPIs. Most expensive department. Worst visibility. Every other team can measure ROI to the individual.
Management theater. Your best devs never needed a ticket. They needed vision and initiatives. The rest was busywork.
Knowledge dies in meetings. Sprint context trapped in recordings nobody watches. It should live in the repo.
Nobody combined it all. Every competitor does one pillar. None connect code + strategy + knowledge + finance + team.
Engineers abstract everything. I couldn't stop abstracting my own job as CTO. See, connect, decide. That's InteliG.
AI changes the commit, not the metric. A dev orchestrating agents is more valuable. Jira can't see the difference. Git can.
Cost center to value center. Tie commits to initiatives to dollars. Prove what engineering returns.
Your best people are invisible. The shadow org chart looks nothing like the real one. That's a retention problem.
Half your org will be agents. You need more intelligence when agents contribute alongside humans, not less.
Leadership never cared about tickets. They want initiative status. Jira was a bad proxy. Code is the real answer.
Not just intelligence — an operating layer. Meeting to code to closed. A loop with no Jira in the middle.
— Levi Garner, Founder & CTO
Read the ManifestoStop reading dashboards. Start understanding execution.
Cognis reasons across your code, strategy, knowledge, and finance to give you answers you can defend. Not charts. Answers.
14-day evaluation period. Connect GitHub and start asking in minutes.