Ali Zahid Raja · AI System Architect & Independent Researcher

Prove where your AI's answers came from.

I built ISNAD, an open-source method that grades every source, model and agent behind an AI answer and signs the record. I run two-week provenance assessments for teams with AI in production.

Ali Zahid Raja

One thing I sell. Everything else is proof.

A two-week Provenance Assessment on one of your production pipelines — you leave with signed evidence you can show an auditor, a regulator, or a board.

1 · Free 30-minute call

For qualified teams. No deck, no pressure.

We look at what your AI system does, whether it's in production, and who owns the outcome. If it's not a fit, I'll say so on the call.

Book the call →

2 · Provenance Assessment

two weeks · one pipeline · $5,000 for the first 2 design partners, €7,500 after

A technical readiness review: inventory, provenance, logging and documentation for one system — mapped to the duties that apply to you.

See the two-week process →

3 · Annual licence & ongoing work

For teams that want the evidence layer to keep running.

ISNAD in your pipeline, the assessment kept current as your systems change, and me on call for the hard questions.

Let's talk →

A technical readiness review — not an Article 43 conformity assessment and not a notified body.

Every number links to where it came from

The two results that matter, with the caveats printed next to them.

Hadith benchmark · κ = 0.87

The ISNAD grading rule run against 575,060 scholar-graded hadith chains. κ = 0.8714 (1 = perfect, 0 = chance) — agreement with a rule-based convention (Ibn Hajar's 12 tiers), not ground truth. Inter-scholar agreement on the same material sits at κ = 0.33. The 577,024 figure is the raw corpus, not the benchmark N.

Full breakdown →

RAGTruth transfer · κ = 0.4345

On 1,800 responses from 6 models: 96.0% hallucination recall at 60.4% precision (recall ≠ precision). 96.8% parsed; the 3.2% that did not parse are scored fail-closed, not excluded. Read as the honest, not the flattering, number.

Read case #0 →

Provenance is the through-line

Claim-level provenance

ISNAD grades every source, scraper, model and agent behind an answer, caps the chain at its weakest link, and signs the record — adapted from 1,200 years of hadith transmission science.

Explore ISNAD →

Evidence architecture

The logging, provenance and documentation an auditor can actually open — inventory, risk classification, decision logs, and the human-oversight trail.

See the evidence layer →

Production AI systems

Voice AI, knowledge systems, backend orchestration and workflow automation that survive real users and real load — built for teams with expensive problems.

View the systems →

Research & writing

Independent, single-author research — published, benchmarked, and written up so practitioners can check the work instead of taking my word for it.

Read the writing →

Work that ships

ISNAD

BuiltOpen-source, claim-level provenance framework. 1,000+ tests, published paper (arXiv:2607.24117), PyPI package v3.0.3.

Explore ISNAD →

Islam & AI

Outcome145,000+ people across 190+ countries. Bootstrapped — funded by donations.

Full story →

Entropic

OutcomeProduction AI across industries — 10k+ therapy-platform users, 3× faster campaign creation.

entropictech.io →

Glacis — Voice AI

OutcomeDispatcher-heavy logistics flows moved to live voice automation in production.

All systems →

Trusted by people I've built with

"Ali is an exceptionally talented software engineer with deep expertise in end-to-end system design and a passion for advancing AI and ML technologies. His ability to design and build AI systems is outstanding."

Noah Marra

Sr. Machine Learning Engineer, AMD · Former teammate

"Ali Raja is an exceptional and talented data scientist that possesses great entrepreneurial and technical abilities. Working with him is always a pleasure."

Ali Almussa

Entrepreneur & Project Management Consultant

Quietly, if the assessment isn't it

Advisory

Positioning, strategy and research-distribution for technical founders and researchers who've built something real and can't get it seen.

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Global Tech Leverage

A private network for experienced engineers moving from local markets to global remote roles. “Talent is global. Opportunity is not.”

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If you can't show where an answer came from, you're trusting the sentence.

Book the free call. If you're not a fit, I'll tell you on the call.