About LockedIn Labs
An engineering firm built to keep learning.
LockedIn Labs combines forward-deployed engineering with an applied AI lab. We investigate how models and systems behave, build tools around what we learn and carry that understanding into enterprise delivery.
Understanding a system means examining more than its output
- 01Inspect the parts
Understand the models, context and tools behind the behavior.
- 02Test the connections
Examine where interfaces and assumptions change the result.
- 03Improve the whole
Use evaluation evidence to decide what belongs in the build.
Leadership and public record
Executive judgment stays connected to the implementation.
Sam M. Sweilem is the firm's founder and operating lead. His maintained public record covers enterprise AI, chief information officer and chief information security officer leadership, healthcare technology, AI product building and platform modernization.
That operating perspective shapes the engagement: connect the business decision to architecture, engineering and controls, then leave the client with a capability they can run.
The lab inside the firm
Research has a practical place in the work.
An applied lab gives engineering questions room to be investigated. We use models and tools in our own work, inspect their behavior and turn useful learning into resources other builders can use.
Explore our research and toolsTools with inspectable scope
Agent Console exposes usage, tokens and cost. MOEModels provides experimental planning, endpoint measurement and evidence tooling. Their repositories give readers a concrete way to examine the work.
Methods that can be reused
AI SDLC publishes the engineering lifecycle. Context Harness supports context design, tool boundaries and evaluation planning in a browser-local workbench.
Authority remains explicit
Production work connects approved context, tool access, evaluation and named human decision rights. The evidence informs the decision; the client holds release authority.
How delivery is governedHealthNext · healthcare practice
A focused practice within the broader firm.
HealthNext is the healthcare practice of LockedIn Labs. It applies our engineering method to health plans and operations regulated by the Centers for Medicare & Medicaid Services, where workflow access, human authority and evidence need to remain connected.
Explore the HealthNext practiceWork inside the approved boundary
Context, permissions and tool access follow the role and workflow the engagement authorizes.
Keep consequential decisions with people
Qualified reviewers hold the decisions reserved for human judgment.
Preserve the operating record
Actions, approvals and provenance stay linked so the team can inspect how a result was reached.
The Executive Build
The executives build first.
A three-day, on-site immersion for executive teams. Build and test a bounded AI workflow with LockedIn Labs engineers, examine its evidence and run cost, and agree the next decisions with named owners.
Explore The Executive BuildThe capability belongs in your operating model.
Engagement-specific code, architecture decisions, evaluations, monitoring and runbooks move into named ownership. That is the handover our delivery model is built around.