About
Specialist AI builders with the proof discipline to stand behind what we ship.
Management-consulting rigor meets big-tech engineering: AI Strategy, AI Transformation, and AI Fluency, with Governance, Audit, and Evals built into every build. We have run AI under audit standards inside Goldman Sachs and JPMorgan and shipped production AI at enterprise scale at Thena.
01
Production changed the answer.
AI quality is no longer a lab metric; it has to show up in live workflows.
02
Dashboards missed the outcome.
Teams need evidence tied to decisions, not more fragmented reporting.
03
AI needed one operating view.
Value, risk, owners, controls, and fluency belong in one read.
Three beliefs
Full-spectrum builder. One proof discipline.
We build across Strategy, Transformation, and Fluency, with evals and governance wired in as the proof layer on every build.
01
Full spectrum, not partial views
Strategy, transformation, fluency, evaluation, and compliance are one operating problem in several vocabularies. Evals and Governance make the proof portable across the whole build.
02
Continuous, not periodic
Point-in-time attestation was designed for deterministic systems. Production AI is not deterministic. Continuous evidence survives the question: what was the system doing at 3:47pm on Tuesday?
03
Baselines, not checklists
Frameworks define what to track. Baselines define what good enough means for a specific use case. Evals makes that baseline explicit before the output becomes the record.
Team
Engagement-led, not headcount-led.
An AI-native team with deep specialist skills across enterprise systems, regulated workflows, and AI-native product companies.
Audit-standard operators
Goldman Sachs and JPMorgan experience building AI and data systems under regulated-enterprise review.
Foundational AI experience
Production ML, evaluation, agent workflows, governance evidence, and review loops that run after launch.
Senior-only pod
Senior practitioners own the work end to end: build, platform, and handoff, with no junior layer to hand you off to.
How we ship
Bounded engagement. Durable operating loop.
The platform stays, the practitioner transfers the method, and the customer owns the loop after handoff.
01
Understand
A neutral assessment of what your AI does today, what it earns, and where it is exposed, then route into Strategy, Engineering, Transformation, or a quick audit.
02
Build at scale
Strategy, Engineering, Transformation, or Fluency sized to the gap, with governance, audit, and evals wired in from day one.
03
Embed
A named practitioner works inside the engagement window while the platform records the method.
04
Hand over
Platform, playbook, evidence pack, and operating cadence transfer to the customer team.
Why services
Software first. Services only where the operating problem needs a landing team.
Product at the center, bounded services around real deployment work.
Why services?
TrustEvals is a specialist AI builder with governance, audit, and evals built into every build. We set the strategy, engineer the product, and run the transformation around real operating problems; the customer leaves with software, evidence, and a method they can run.
What stays after the engagement?
The evidence layer, playbook, owner cadence, and operating method stay with the customer team. The engagement is intentionally bounded so the loop can keep running without us in every meeting.
Why keep an independent assessment?
The team building AI needs measurement in the workflow, and leadership still needs a neutral view of whether the system holds when it reaches production.
Co-founder and CEO
Unmukt Raizada
16 years at the intersection of data and AI; 10 years building AI under audit standards across Goldman Sachs and JPMorgan; co-founder of Thena, backed by Lightspeed and First Round.
Unmukt sets company direction for TrustEvals and stays close to the build.
The discipline we sell is the discipline we hold ourselves to: every public number carries its real qualifier, whether stated, measured, modeled, or realized.
Customers and partners remain anonymized unless explicitly approved.
AI systems in production
Evaluation and governance evidence
Board-readable operating views
Arm’s-length audit available
The arc
Where the method was forged.
Goldman Sachs
Chief Data Architect, building enterprise data systems under regulated review.
JPMorgan
VP Applied AI/ML, connecting model work to production decision environments.
Airtel / Wynk
AVP, data and product systems at consumer scale.
Thena.ai
Co-founder, backed by Lightspeed and First Round.
TrustEvals
Co-founder and CEO, leading the specialist AI builder across Strategy, Engineering, Transformation, and Fluency, with Governance, Audit, and Evals built in.
Domains
Six domains under the build.
Data architecture
Goldman Sachs Chief Data Architect work across enterprise-grade data systems and operating constraints.
Applied AI / ML
JPMorgan applied AI and ML work where model behavior had to connect to real decisions.
Consumer-scale product
Airtel and Wynk experience building data-backed products at large user scale.
AI-native SaaS
Thena co-founder experience turning AI-heavy product work into enterprise workflows.
Evaluation systems
Production evals, harness engineering, and regression loops for systems that need to hold after launch.
Governance evidence
Framework-mapped evidence, owner cadence, and board-readable operating views for consequential AI.
Voice
Where the founder shows up publicly.
Writing
Operating evidence for production AI.
Founder writing centers on evals, governance evidence, workflow measurement, and what leaders can actually defend once AI is in production.
Speaking
Board, buyer, and practitioner rooms.
Talk tracks translate technical measurement into the executive questions: what is running, is it working, who owns it, and what proof exists today.
Current work
TrustEvals.
The specialist AI builder for AI Strategy, AI Transformation, and AI Fluency, with Governance, Audit, and Evals built into every build.
Specialist AI builder
One builder, across the board.
We take your AI from strategy to outcome, with governance, audit, and evals built into every build. Start with a discovery call, or a quick audit.
TrustEvals
Strategy, transformation, fluency. Governance, audit, and evals built in.
TrustEvals is owned by DataFortress, Inc.
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