Product · AI · Data
We diligence what we can build, and we build what survives diligence.
Selected work · Investment management
Illustrative interface, representative of the system we built. Client details withheld.
See all work →
Our point of view
Most technology risk hides between the pitch deck and the code. We check a technology all the way down, from the physics to the model, then build what holds up.
Every claim we make points to something you can inspect: an evaluation, a memo, a working system.
We use models where they create leverage and plain engineering where they don’t, and we’ll tell you when not to build at all.
The people who scope your work do your work, from the first call to the handover.
Two ways in
Every engagement starts with a short, fixed-scope diagnosis. Building comes after, only if it makes sense.
Independent technical and AI diligence on deal time, including hardware and deep tech.
Is the technology real, and where are the red flags? A plain read before exclusivity.
Code, data, AI claims, security and team, with every finding rated and costed.
Strategy, AI, data and engineering from one senior team, from first question to live system.
An open question becomes a product definition, tested prototype and plan.
Design, engineering, AI evaluation and launch, by the principals who scoped it.
Every build runs the same eight rings
More work
Physical science, software and AI are one ability here: we can verify a technology from the material up. Client names stay confidential.
Principals
A small senior core, with trusted specialists added only when a problem needs them. Canada and the United States.
Principal · Graduate engineering
Has led programs from feasibility to delivery across advanced materials, nanotechnology, consumer-device sensing and digital products.
Principal · Doctoral engineering
Has led product, data and high-technology teams, connecting scientific judgment with architecture, analytics and operations.
Before you call
Diligence is a fixed fee agreed before we start. Product engagements typically begin around $50k, usually with a two-to-four-week discovery sprint. Builds are priced by milestone.
The two principals, on every engagement. When a program needs extra hands or a specialist discipline, we add trusted people from our network, and we tell you who they are.
NDA before any data room or code access. Findings go only to the people you name. We never use client names or details without permission.
Yes. No vendor referral fees, and we do not take build work from a company we are diligencing. Sequoia Labs is not affiliated with Sequoia Capital.
If you need a large team for staff augmentation, a brand or marketing agency, or a quick demo with no path to production, we will say so and point you elsewhere.
Start a project
A principal reads every message and replies within one business day. A rough idea, a data room or a broken workflow is enough to start.