Executive briefing
With you, and for you to own.
Forward-deployed engineers, powered by our own platforms. We build inside your environment, train your team, and leave it theirs.
Explore our platformsFeatured perspectives
What we do
We engineer AI into the way enterprises work.
LockedIn Labs is an AI engineering company. We embed senior engineers with enterprise teams, build alongside design partners, and ship the platforms and applications that carry AI into production.
- Forward-deployed engineeringSenior engineers, embedded with your operators.We work inside your environment and carry a consequential workflow from executive mandate to governed production, then transfer the capability to your team.See how we deliver
- Design partnershipsShape a platform with the engineers building it.Partner with us early: bring the operating problem, test the platform against your own environment and influence what it becomes. We bring our platforms into your enterprise, build with your team, and leave them behind: installed in your cloud, in your repositories, owned by you.Discuss a design partnership
- Platforms and applicationsAI-native platforms, and the applications built on them.We build our own product family, led by ARC1, and engineer custom AI applications, agent systems and integrations for client environments.Explore product engineering
- Model training and researchBuild and evaluate the model the work calls for.Organisation-specific models adapted from open-weight bases, evaluated against pinned evals and sealed with evidence before release. Frontier models stay in use for the jobs that need them. The lab publishes the method and the records.Explore model engineering
AI-native training by LockedIn Labs
Learn AI from the people building it.
We bring the discipline of building AI for regulated environments into practical learning for employees, engineering teams and delivery leads.
Start with a useful workflow. Build systems, challenge the result and make the work ready for someone else to receive.
Explore AI-native training
AI fluency at work AI systems engineering FDE and pod delivery
The platforms
Built for what comes next.
Distinct AI-native platforms, built with shared engineering discipline. Each one is independently useful, and they are designed to work together across the enterprise.
Explore all platforms
Flagship platform · Enterprise AI spend, governance and value
ARC1The full arc of every AI transaction, from token spend to value realized.
ARC1 gives enterprise AI decisions an inspectable record. Teams can examine usage and cost, compare an alternative against agreed limits, authorize a policy change and retain the evidence of what followed. Authority, technical observations and financial readings stay connected to the decision they support.
- Spending context
- Quality comparisons
- Approved policy
The product family
8 platforms by LockedIn Labs
ControlFrameAgentic continuous compliance for the enterpriseFrom evidence to confidence.
AI OperationsAI-native operationsObserve. Orchestrate. Stay ahead.
Talent Acquisition and StaffingAI-native talent acquisition and staffingPeople. Potential. Progress.
AI-native TrainingEmployee enablement, engineering and field deliveryBuilt for the field.- Enterprise Assessment and DesignAssessment and delivery designAssess. Design. Deliver.
- Enterprise ModernizationEnterprise modernization and prioritizationTurn possibility into priority.
- Agentic Engineering PlatformAgentic engineering with AI SDLCGoverned agentic engineering.
Selected builds
Ideas made tangible.
Explore the product thinking and engineering behind two focused application concepts.
VENDOR INTELLIGENCE
ExampleA shortlist with a reason.
Need: a data integration partner for a cloud migration.
Working contextFocusNext step
01Northstar DataIntegration engineeringReview fit
02Harbor SystemsCloud migrationReview fit
03Evergreen WorksData operationsReview fit
Match context
Compare the operating need, delivery approach and evidence together.
Vendor intelligence
Project VIOS
A vendor-intelligence concept connecting vendor matching, risk and renewal review, agent workflows and a shared co-creation workspace.
Developed as a vendor-intelligence concept for Google Cloud.
Explore Project VIOS9:41Pixel / sample
FIELD NOTESYour next destination.
A sample travel app
Explore the journeyANDROID / PIXEL
SCENARIO / 01
Launch and navigate
- 01Open the sample application
- 02Navigate to the account screen
- 03Review the captured outcome
Scenario selected
An authored path through a fictional app.
React demonstrationADB runner foundation / 8 suites
Android app testing
Pixelizer
An app-testing demonstration pairing a React interface and synthetic test scenarios with an eight-suite Android Debug Bridge runner foundation.
Developed for a Google Pixel app-testing demonstration.
Explore Pixelizer
The Executive Build
The executives build first.
A three-day, on-site immersion. Your executives build and test a bounded AI workflow with LockedIn Labs engineers, then agree the next decisions with evidence and named owners.
Explore the immersionInside the lab
The research becomes
part of the engineering.
We experiment with models, context, agents, and integrations to understand what works in practice. The useful findings become evaluated systems, reusable methods, and tools other teams can inspect.
Explore the engineering
Agent Console
Local agent observability
MOEModels
Evaluation tooling · Apache-2.0 · Experimental
AI SDLC
Published lifecycle method and reference tools
Meetup at the lab Saturday, October 17 · Noon Eastern
Operating credentials
Senior operators and engineers, accountable through production.
Every engagement is led by a named delivery lead and organized around explicit decision rights, production acceptance criteria, and capability transfer. Senior engineers work from executive mandate through architecture, implementation, evidence, and production ownership. We deploy into the client-approved estate—including long-lived core systems—and leave the repositories, runbooks, evidence, and operating capability with the client team. Healthcare is our deepest applied practice; the same disciplined method extends across regulated and operationally consequential environments.
- C-suite operators
- former CIO, CTO and CISO operators, hands-on in the delivery system
- Production ownership
- architecture, product, security, delivery and operations led as one accountable system
- Regulated environments
- deep applied healthcare practice carried into other consequential enterprise settings
- Capability transfer
- repositories, evidence, runbooks, extension points and named ownership transferred into the client operating model
Signals from the field
What it costs to move agents from pilot to productionThe Economics of Agent Optimization: From pilots to measurable returns
A real database inside every agent sandboxElectric joins Databricks to bring WASM Postgres to AI agent sandboxes
Route every agent step to the cheapest model that can do itNVIDIA Nemotron 3.5 Lightning and NeMo Switchyard Deliver Faster, Smarter, More Efficient Agentic AI
What a frontier lab does about its own model's edgesImproving Fable 5's biology safeguards
Authorization that reads what the agent already didAnnouncing temporal policies and rate limiting in Amazon Bedrock AgentCore
Find your next platform.
Tell us what you want to make possible. We will help you explore the right product and the engineering behind it.