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Solving complex problems of consequence
We build the intelligence behind what is next
AinsworthLloyd designs, builds and deploys AI systems, custom software and the infrastructure underneath them. Seventeen years of delivery for federal agencies, health systems, financial institutions and technology companies.
- Founded
- 2009
- Base
- Washington, DC
- Practice
- AI, software, platforms
- Sectors
- Federal, health, finance
Where our engineers have delivered
Organizations our team has delivered into, directly or through partners. Client names and engagement outcomes are shared under NDA rather than published.
Position
Most software records what already happened. We build systems that decide what happens next.
AinsworthLloyd is an engineering firm. We combine applied AI research, software architecture, product design and process automation into systems that carry real operational load.
The ones that route the claim, price the risk, schedule the fleet, read the document and answer the citizen. Built to be inspected, tested and handed over.
- 2009
- Founded in Fairfax, Virginia
- 17
- Years of continuous delivery
- 6
- Regulated sectors served
Products
Built with AI. Checked by engineers.
Fixed scope products for teams shipping software with AI coding agents, and for small businesses that need their IT looked after. Delivered by the engineers who do our client work.
Capabilities
Six practices. One engineering team.
Most engagements use three or four of these at once. They are separated here for clarity, not because they ship separately.
01
AI Systems
Agents, retrieval, vision and forecasting, wired into the systems that already run your business.
Every engagement starts with a measurable outcome and an evaluation set. If a deterministic rule beats a model, we ship the rule and say so.
- Agents
- Retrieval
- Computer vision
- Forecasting
- Evaluation
02
Custom Software
Systems built for one organization and one problem, modelled properly rather than configured badly.
Domain modelling, a real test suite, written architecture decisions, and a handover that includes the keys and the runbook.
- Domain modelling
- Backend
- APIs
- Testing
- Handover
03
Mobile Applications
Native iOS and Android, Flutter and React Native, built offline first and secure by default.
Shipped through the stores and kept there, with crash budgets, staged rollout and the release process documented.
- iOS
- Android
- Flutter
- Offline sync
- Store release
04
Web Experiences
Platforms, portals and public surfaces that hold up under load, audit and a screen reader.
Accessible to WCAG 2.2 AA, measured against Core Web Vitals, and shipped behind a rollout you can reverse.
- Portals
- Design systems
- Accessibility
- Performance
- SEO
05
Automation
Process automation that removes the queue, not the person who understood it.
Approvals, exceptions and audit trails designed in from the first diagram, so the automated path is the accountable one.
- Workflow
- Approvals
- Integration
- Audit trails
- Scheduling
06
Enterprise Platforms
Multi-tenant systems with identity, billing, reporting and the integrations procurement will ask about.
Built to pass a security review, an accessibility review and the next ten years of maintenance by someone else.
- Multi-tenancy
- Identity
- Billing
- Reporting
- Compliance
AI systems
Practical AI. Not a chatbot bolted on top.
We build AI that sits inside an operational process and is accountable for an outcome. Every system ships with an evaluation set, a fallback path and a plain statement of what it cannot do.
- 01
AI Agents
Multi-step agents with real tool access, bounded scope and an approval gate on anything that leaves the building.
- 02
Computer Vision
Detection, classification and document understanding on images, video and scanned records.
- 03
Generative AI
Drafting, summarisation and synthesis, grounded in your sources and cited back to them.
- 04
Intelligent Automation
Models placed inside a workflow where they beat a rule, and rules kept where they beat a model.
- 05
Recommendation Systems
Ranking and personalisation trained on your data, measured against a holdout, not a demo.
- 06
Decision Support
Systems that show the evidence behind a recommendation so a person can accept or overrule it.
- 07
AI Integrations
Model routing, cost and latency budgets, caching and graceful degradation across providers.
- 08
Enterprise AI
Tenant isolation, data residency, audit logging and human review, designed in from the start.
- Evaluated
- Offline evaluation before release, online measurement after
- Grounded
- Answers carry their sources, uncertainty is stated
- Bounded
- Scope, cost and blast radius fixed before a system runs
- Reversible
- Every model path has a deterministic fallback
Software engineering
We build the whole system.
Not a prototype that needs a real team afterwards. Interface, service, data, infrastructure and the operational work that keeps them running.
- 01
Interface
- Design systems
- Web applications
- Mobile
- Accessibility
- 02
Service
- APIs
- Microservices
- Real-time
- Background work
- 03
Data
- Schema design
- Migrations
- Analytics
- Search
- 04
Platform
- Cloud
- CI and CD
- Observability
- Cost control
- 05
Trust
- Authentication
- Authorisation
- Payments
- Audit
Mobile and web
One product. Every surface.
A single domain model behind an application that behaves natively on a phone, correctly on a desktop and predictably offline. Designed together, shipped together.
console.ainsworthlloyd.com / operations
Throughput
18,402
Median latency
212ms
Queue depth
7
RecordStatus
AL-40912Verified
AL-40913Verified
AL-40914Held
AL-40915Verified
Today
1,284
records processed
Awaiting approval
- Claim 8821
- Claim 8822
- Claim 8823
Approve all
Native mobile
Swift and Kotlin where the platform matters, Flutter and React Native where velocity does.
Web applications
Server rendered, streamed, and fast on the hardware your users actually own.
Progressive web apps
Installable, offline capable, and updated without an app store review.
Cross platform systems
Shared contracts and one source of truth, so the surfaces never disagree.
How we work
From a problem to a system that holds.
The same six stages whether the engagement runs six weeks or three years. Each one produces something you can read.
- 01
Discover
We map the process as it actually runs, not as the documentation describes it, and agree what success will be measured against.
- 02
Architect
Written architecture decisions, a data model, an integration plan and a cost envelope, before anyone writes production code.
- 03
Build
Short increments against a working system. Tests, review and a deployable trunk from the first week.
- 04
Integrate
Identity, payments, records and the systems you already depend on, connected behind contracts that are versioned.
- 05
Launch
Staged rollout behind flags, with monitoring, alerting and a rollback that has been rehearsed.
- 06
Scale
Capacity, cost and reliability tuned against real traffic, then handed over with the runbook.
Technology
Fifteen capabilities. One connected system.
A capability is only worth listing if it connects to the others. Intelligence needs somewhere to run, engineering needs something to reason over, and a platform is what keeps both accountable.
Intelligence
- Artificial intelligence
- Machine learning
- Generative AI
- Computer vision
- Data systems
Engineering
- Web applications
- Mobile applications
- APIs
- Microservices
- Automation
Platform
- Cloud
- DevOps
- Observability
- Cybersecurity
- Compliance
Selected work
The shape of what we take on.
Sector, system and stack. Client names and outcomes are shared under NDA in conversation rather than published here.
01Federal government
Case management, rebuilt
A legacy caseload system replaced in place: the same records, the same statutory rules, a new service boundary and an interface a caseworker can actually move through.
- Go
- React
- PostgreSQL
- Kubernetes
02Healthcare
Clinical document intelligence
Scanned records read, structured and reconciled against the patient index, with every extracted field traceable back to the pixel it came from.
- Python
- Vision models
- FHIR
- Azure
03Financial services
Real-time risk surface
Position and exposure recomputed continuously rather than overnight, so the number on the desk and the number in the report are the same number.
- Rust
- Kafka
- ClickHouse
- gRPC
04Logistics
Autonomous dispatch
Routing and allocation moved from a spreadsheet and a phone call to a solver that explains its assignment and lets a dispatcher override it.
- TypeScript
- Optimisation
- Edge
- Terraform
Why AinsworthLloyd
Six reasons that survive contact with the work.
- 01
Accountable for the system
We are measured on whether the thing works in production, not on whether the sprint closed. That changes what gets built.
- 02
Architecture before code
A written decision record, a data model and a cost envelope come first. Most expensive failures are architectural and arrive early.
- 03
AI where it earns its place
Deterministic logic is cheaper, faster and testable. We use models where they beat it, and we show you the comparison.
- 04
Built for the hard rooms
Federal procurement, clinical governance and financial audit. We build to survive the review, not to pass a demo.
- 05
We hand over the keys
Source, infrastructure, credentials, documentation and a runbook. No dependency on us that you did not choose.
- 06
Since 2009
The firm predates this wave of AI and will outlast the next one. We have replaced our own work more than once.
Start here
Let us build what does not exist yet
Tell us what you are trying to build, automate or transform. You will speak to an engineer, and you will leave the first conversation with an opinion about your problem whether or not you hire us.