SynAGI

Professional services for enterprise AI

Trust Engineering
for the era of AGI.

Your AI already makes decisions you are accountable for. As these systems get more capable, the gap that matters stops being what they can do. It becomes what you can prove they did.

SynAGI is a professional services firm. We evaluate the AI you have already deployed, engineer the fixes the evaluation finds, and hand you evidence a board can act on.

Explore the Trust Audit What is AGI?

One workflow. Fixed scope. 3–4 weeks.

Built around consequential workflowsClaims & underwritingRisk & complianceCustomer operations

01 / Our approach

Trust isn’t a feature
you add. It’s a stack
you build.

As these systems approach consistent expert-level judgment, capability stops being the differentiator and trust becomes the constraint. Five layers, core outward. Each one has a question, a control, an owner, and a piece of evidence you can hand to somebody who doesn’t work for you.

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Five rings, core outward. Select a layer.

Layer 01 / Data

Can I trust it with my company’s data?

Staff paste proprietary material into tools nobody approved, because it makes their day easier.

Who owns it
CISO
The control
Sovereignty. Open weights. Self-hosting. A model portfolio rather than a single vendor. Don’t rent the intelligence that touches your crown jewels.
The evidence
A data-flow map. Where every prompt actually lands.
Explore the full framework

02 / The firm

A services firm for
the AI you already run.

Not another platform, and not another chatbot. Small, high-skill teams embedded inside your operation, close to the people doing the work, backed by a global engineering bench.

Delivery

We evaluate and improve the AI you have already deployed: copilots, agents, and decision-automation workflows running against real traffic.

How we engage

Insights

We publish what we find. Real failure modes from real systems, written by the people who found them. Practitioners, not pundits.

Read the research

Academy

We train people, locally, to be the ones who check the machines. Evaluation engineering is a skill your team can own rather than rent.

See the programs

Globally engineered.
Locally embedded.

Delivery has to be close to the work. Frameworks, tooling and evaluation pipelines compound across engagements. The team that applies them sits with your operators, not nine time zones away.

Practitioners,
not pundits.

Architects, engineers and machine-learning practitioners who have shipped production AI in regulated environments. We are paid to make something measurably better, not to issue findings nobody acts on.

Our longer-term ambition: organizations that can operate with intelligence as a default.

Read the thesis

Your first engagement

The Trust Audit.

A focused evaluation of one AI workflow across all five layers. Understand how it behaves, identify the highest-priority failures, and leave with a plan and a Trust Score you can take to your board.

See scope & deliverables
05Layers assessed
3–4Weeks, fixed scope
01Score, dated and signed

Start with one workflow

How many of the five layers
can you evidence today?

Thirty minutes to discuss your system, the layer you are least confident about, and whether a Trust Audit is the right next step.

Discuss a workflow