Imad
Co-founder & CEO- 600-car fleet, $14M+ revenue, exited 2021
- Won Morgan Stanley, Columbia and Uber as clients
- 3 multi-million businesses, zero outside capital
- 15 years operating. Now based in Dubai.
Pre-seed · Hub71, Abu Dhabi · 2026
The AI brain that powers the hybrid workforce.
The enterprise stack was built for humans. The next decade runs on humans and agents. EVALZZ holds one live model of your policy, process and intent — and a human gate before anything executes.
40%
of enterprise apps embed task-specific agents by end-2026 — from under 5%
88%
of organisations already use AI in at least one business function
61%
of enterprises have already put money into agentic AI
20%
have a mature AI governance model
The failure
The models work. The coordination does not.
Every number below is a coordination failure, not a capability failure. That is the gap EVALZZ closes.
95%
Of enterprise GenAI pilots deliver no measurable impact on the P&L.
MIT NANDA, 2025
42%
Of multi-agent failures come from agent-to-agent miscommunication — not model error.
Stanford, 2025
40%
Of agentic AI projects will be cancelled by end-2027 — cost, unclear value, weak risk controls.
Gartner, Jun 2025
23%
Of organisations have actually scaled an agentic system into production.
Adoption data, 2026
The product
One connected layer. Four jobs.
We do not sell the platform. We earn it — the customer asks for each layer down.
01we land here
Hybrid workforce
One agent. One job. Narrow, specialised agents doing one team's real work — one workflow, weeks not quarters.
02more context
AI OS
Permissions-aware connectors across ERP, CRM, docs, ticketing and identity, delivering the right context at the moment of action.
03provable behaviour
Orchestration
Pre-checks every action against policy and intent, verifies the outcome, and writes an immutable audit log.
04whole company
Company brain
One live model of policy, process and intent — sharpened by every human-approved decision.
Every agent we deploy is also a sensor. Acquisition and moat-building are the same activity.
The loop
A live loop, not a document dump.
A static knowledge base goes stale in weeks. A looped, human-verified one gets sharper.
Sense
Ingest every artifact — rules, procedures, live activity.
AutonomousCompare
Detect where reality has drifted from intent. Flag with evidence.
AutonomousAct
Propose the company's own validated procedure for that case.
Human-gatedHuman
A human approves before anything executes.
Human-gatedLearn
Record the outcome, update the model, rewrite the procedure.
Human-gatedLearn feeds back into Sense — the model rewrites itself
Learn is where value compounds — every approved outcome adds data no competitor has.
Governance
Two rules make this buyable in a regulated market.
01
Cite or abstain
The brain only proposes actions it can ground in retrieved policy. If it cannot cite, it abstains.
The reviewer never sees a guess.
02
Oversight where it counts
Sensing and comparing run free. Nothing executes without approval.
The human reviews decisions, not noise.
Gartner names inadequate risk controls a top-three cause of agentic project cancellation. The human gate is what turns a pilot into production.
The moat
A rival can copy the connectors. They cannot copy four years of your company's verified corrections.
The correction data does not transfer. It is generated by one company's own approved decisions — and it compounds with every agent deployed.
Abu Dhabi
Sovereign capital, compute and regulated demand in one market.
ADGM RegLab
Governed-agent sandbox inside a regulated environment — our credibility asset.
Anchor buyers
ADNOC, Mubadala portfolio, M42, TAQA — global-scale demand in one market.
Sovereign AI
In-country deployment for buyers who cannot send data offshore.
Talent
MBZUAI and TII pipeline for retrieval and agent research.
Founding team
Operators who have scaled regulated businesses. Engineers who have already built this stack.
Abdullah
Co-founder & CFO / COO- $50M+ vehicle finance programme built from zero
- 2,000+ units sold and financed
- Licensed a NY State school through regulators
- Ran finance for a regulated NYC institution
Hammad Ali
Co-founder & CTO- Ships hybrid RAG, knowledge graphs, MCP agents
- Published a 320K-record NLP dataset
- Winner, Smart India Hackathon 2024
- 98th of 32,000+, Amazon ML Challenge
Md Aabid Hussain
Co-founder & Product Eng.- Built an AI Platform: 800 MAU
- Architected it to 50,000 users
- 3 apps live on Play Store
- 1st nationally, Smart India Hackathon 2024
Two operators who have already built multi-million-dollar businesses inside NYC's regulatory perimeter. Two engineers already shipping retrieval, knowledge graphs and agent orchestration in production. The company brain needs both halves.
Design partners
Three design partners. One governed agent in production.
We are selecting a small number of design partners for the first correction ledger. One team, one named owner, one small provable purchase.
3 paid design partners1 governed agent liveFirst correction ledger
Or email contact@evalzz.com