Platforms for consequential software
Forward Deployment
Engineers embed with your team to land the platform on the mission—and leave the cadence behind.
We build the platforms—and deploy engineers who solve the problem with our tools or yours.
JaiCode, AI Boutique Shop, and AI in a Box are ready when you need them. Forward Deployment Engineers embed with your team and work in whichever stack fits the mission—ours, yours, or both—until software ships and the cadence stays with you.
Platforms
Software that becomes the chassis for delivery.
Palantir-style: platforms first. People deploy them. Outcomes land in the field.
- 01↳
JaiCode
Local-first IDE · CLI · companion. The operating system for gated agentic SDLC—BYOK models, context packs, Plan unlock, Agent Review.
- 02↳
AI Boutique Shop
Bespoke GenAI products crafted end to end on JaiCode—greenfield systems owned with your stakeholders.
- 03↳
AI in a Box
Packaged agentic delivery your team can run and own—enablement built into the platform, not a slide deck.
Platform chassis
01 / 03
JaiCode
Operating system
AI Boutique Shop
Bespoke products
AI in a Box
Packaged delivery
Industries
There is so much left to build.
FDEs deploy JaiCode into six verticals where product velocity, data boundaries, and review discipline collide—automotive, education, enterprise, financial services, game, and hospital operations.
Industry matrix
Commercial missions FDEs deploy into
Automotive
01
Automotive
02
Healthcare
03
Education
04
Finance
05
Game
06
Enterprise
07
Retail
08
Energy
09
Telecom
Automotive & Mobility
↳Connected vehicle, dealer retail, aftersales, and homologation—GenAI under real OEM constraints
Hospital Operations
↳Clinical and ops products modernized with PHI-aware path grants—no big-bang rewrite
Education & EdTech
↳Learning and campus products with student-data boundaries and Plan before Build
Financial Services
↳Regulated customer and core-adjacent loops—Plan unlock, path grants, audit-ready history
Game
↳Playable vertical slices with design and engineering under one gated agentic cadence
Enterprise Software
↳B2B MLPs that replace chat-sidebar codegen with industrial Plan → Review gates
Forward Deployment
How platforms land in the field.
Forward Deployment Engineers embed with your product and engineering leads to configure JaiCode on the mission—context packs, multi-model routing, Plan → Build → Agent Review—until software is shippable and your team owns the cadence.
What an FDE is not
- Not a body shop that only writes tickets
- Not a chatbot license with a slide deck
- Not a black-box offshore codegen farm
What they own
- Problem framing and success signals with your stakeholders
- Deploying JaiCode: context packs, path grants, BYOK, seats
- Plan → Build → Agent Review loops through production MLP
- Pairing and enablement so your team keeps the platform practice
- Engineer context from your systems—not ad-hoc pastes into a chat window
- Route tasks across Claude, OpenAI, Gemini, and other BYOK models
- Run Ask / Plan / Debug / Build on JaiCode with Agent Review before merge
- Stand up ceremonies in Agents Window; transfer practice, not just PRs
How they work day to day
Embed timeline
Our tools or yours
Align
You: Share constraints
FDE: Frame success signals
Configure
You: Open systems access
FDE: Land tools on mission
Ship
You: Review & approve
FDE: Plan → Build → Review
Transfer
You: Own the cadence
FDE: Leave practice behind
Usecases
Outcomes from platform deployments.
Illustrative composites until named clients publish. Each story follows Challenge → Platform → FDE → Outcome.
Outcome rail
Game
Before
Unreviewed agent dumps
After
Gated feature loops
Outcome rail
Game
Before
Unreviewed agent dumps
After
Gated feature loops
Next step
Tell us which mission the platform should power.
Share the industry constraint and the outcome. We will respond with how JaiCode—and Forward Deployment Engineers—would run your full SDLC with generative AI.