Capability · 01
Custom application development
Full lifecycle, from product definition through production support. Web, mobile, internal tools, customer portals.
ReactNodePython
Application Development — AI-Embedded, Cloud-Native, Senior-Led
Custom and AI-embedded application development for government and regulated organizations. LLM and RAG integration, computer vision, NLP, mobile and web, cloud-native delivery on AWS, Azure, or GCP. Four-phase delivery, fixed-fee, senior-led.
LLM + RAG
Cloud-native
Fixed-fee delivery
Most application engagements stall in one of two places.
Requirements that don’t survive contact with the user, or AI features bolted on after the fact that don’t fit the workflow. We start with the workflow, design the AI surface to fit it, and ship in two-week increments your stakeholders can see and react to. We don’t sell you a 12-month statement of work and disappear into a slide deck.
What’s included.
Capability · 02
AI-embedded delivery
LLM-integrated workflows, retrieval-augmented generation (RAG), document intelligence, computer vision, conversational UX. Built into the application, not bolted on.
LLMRAGComputer vision
Capability · 03
Legacy modernization
Strangler-fig replacement of legacy systems. Incremental, with the legacy system live throughout.
Strangler-figZero-downtime
Capability · 04
Mobile and web
React, React Native, Vue, Swift, Kotlin. Stack chosen to fit your team's maintenance reality, not our preference.
React NativeSwiftKotlin
Capability · 05
Cloud-native deployment
Terraform / CDK / Pulumi infrastructure, CI/CD pipelines, observability baked in. AWS, Azure, GCP, FedRAMP-aligned where required.
AWSAzureGCP
Capability · 06
Production support
24/7 on-call coverage available for engagements that need it. SLA-defined, transparent.
SLA-defined24/7 on-call
Discover, build, validate, operate.
PHASE 01 · 2–4 WEEKS
Discover
Workflow analysis, stakeholder interviews, technical assessment, definition of MVP scope. Output: prioritized backlog and architecture brief.
PHASE 02 · 8–24 WEEKS
Build
Two-week increments. Demo every two weeks. Deploy to staging continuously. Scope-dependent timeline.
PHASE 03 · 2–4 WEEKS
Validate
UAT, security review, accessibility audit, performance testing. Production cutover.
PHASE 04 · ONGOING OPTIONAL
Operate
Production support, feature additions, monitoring, capacity planning.
Outcomes.
- A working application your users actually use, deployed to production with monitoring and a runbook.
- A team that can take it over from us — clean code, documented decisions, no mystery dependencies.
- AI features that earn their keep on every workflow they touch, not features added because they were on the deck.
Frequently asked questions.
What stacks do you work in?
TypeScript / React / Next on the front end. Node, Python, Go, Java, .NET on the back end. We choose for your team's maintenance reality, not ours.
Do you do greenfield or just modernization?
Both. About half our engagements are greenfield, half are legacy modernization.
How is 'AI-embedded' different from 'we use AI'?
AI-embedded means the AI surface is part of the workflow design from the start. Bolted-on means it was added at the end and feels like it. We do the former.
Can you work with our existing engineers?
Yes. Most engagements pair our seniors with your engineers. Knowledge transfer is part of the deliverable, not a surcharge.
Do you do design, or just engineering?
We have product designers. We can also work alongside your design team if you have one.