✺Jaypore Labs
What we do

AI-enabled
software, for your business.

Six ways to put AI to work. From scribes and copilots to voice AI and full SaaS — we build, we integrate, and we help you decide if AI is worth the candle in the first place.

Capabilities

What we
build.

Six shapes of work. Whether you're starting fresh or retrofitting an existing product, we pick the one that fits — not the one that pads the invoice.

  • Your product already works. We embed AI where it earns its keep — scribes, copilots, agents, RAG — without rewriting your stack or blowing up your compliance posture.

    • LLM integration (OpenAI, Claude, open-source)
    • RAG pipelines with vector search and evals
    • Voice AI (real-time STT/TTS, diarization)
    • AI agents with tool-calling and audit trails
    Talk about this
What you actually get

Capabilities,
not claims.

Everything below is something we've shipped more than once — for doctors, founders, or enterprise teams introducing AI into real operations. No vaporware, no “we could figure it out.”

01

AI inside your software

  • AI scribes

    01

    Domain-tuned scribes for medicine, law, meetings, voice notes

  • AI copilots

    02

    In-app assistants with streaming, structured output, and tool-calling

  • AI agents

    03

    Multi-step agents with evals, fallbacks, and audit trails

  • RAG systems

    04

    Retrieval pipelines with vector search, rerankers, evals

  • Voice AI

    05

    Real-time STT/TTS, multi-speaker diarization, wake-word

  • MCP servers

    06

    Model Context Protocol servers that plug into Claude, Cursor, IDEs

02

Product surfaces

  • Web apps

    01

    Next.js · App Router · Server Actions · Edge runtime

  • Desktop apps

    02

    Electron apps that feel native — offline-first, auto-update

  • Mobile apps

    03

    React Native · Expo · iOS + Android from one codebase

  • Chrome extensions

    04

    MV3 extensions with AI assistance baked in

  • Internal tools

    05

    Admin dashboards, CMS, workflow automations

  • APIs + backends

    06

    Type-safe APIs, webhooks, background jobs, queues

03

Craft + care

  • Design systems

    01

    Component libraries, tokens, docs — built to last

  • Data viz

    02

    Charts, dashboards, clinical reports — numbers that tell stories

  • Evals + monitoring

    03

    LLM evals, observability, incident response playbooks

  • Compliance

    04

    HIPAA, SOC2-ready architectures for regulated industries

  • Infra + DevOps

    05

    Vercel, AWS, Fly, Docker — boring on purpose

  • Team augmentation

    06

    Drop us in beside your team as senior AI engineers

Work with us

Three ways
to engage.

Pick the shape that fits. We'll recommend one honestly — sometimes that means a different studio entirely.

  • 01Fixed scope

    Project

    A clear deliverable with a timeline. Best for MVPs, discrete AI features, or adding AI to an existing product.

    • New AI-enabled product
    • Prototype to production
    • Defined scope
  • 02Monthly

    Retainer

    A dedicated slice of the studio every month. Best for companies putting AI to work across multiple surfaces.

    • Continuous delivery
    • Long-term roadmap
    • Evolving AI surface
  • 03Per-engineer

    Augment

    We plug in beside your team as senior AI engineers. Best when you have engineers but lack AI depth.

    • Team extension
    • Senior AI depth
    • Fast ramp-up
Engagement cadence

From hello to
in production.

Four phases, designed so you see working AI by week four. Not a proposal. Not a deck. Something you can click.

  1. 01

    Discovery

    One week inside your business. Interviews with users + operators, workflow mapping, AI opportunity audit. Output: a crisp problem statement and a bet map.

  2. 02

    Blueprint

    Architecture, wireframes, eval criteria, milestones. Fixed scope for the first ship, open-ended after. Written in plain English, not decks.

  3. 03

    Build

    Two-week sprints, Friday demos. Production on day one — no staging-only fantasies. CI, LLM evals, monitoring, the works.

  4. 04

    Launch + steady state

    We ship. We watch the dashboards. We tune the prompts and evals. Then we stick around as long as you need us.

Who we serve

Where we've brought
AI to work.

Regulated, consumer, enterprise — the shape of the product differs, the discipline doesn't. Depth beats breadth, and we've been inside each of these long enough to be useful.

  • 01
    Healthcare

    AI scribes, clinic OS, EHR add-ons — built for real practitioners

  • 02
    Legal

    AI doc review, contract agents, client-intake copilots

  • 03
    Enterprise

    Internal tools + AI copilots for knowledge work and ops

  • 04
    Productivity

    Meeting AI, wellness rituals, focus + habit software

  • 05
    Fintech

    Dashboards, analytics, AI-assisted underwriting + ops

  • 06
    Research

    Labs, universities, scientific viz with AI analysis on top

  • 07
    Consumer

    Creator tools, voice apps, AI-assisted social products

  • 08
    Education

    Learning tools, tutors, AI-enabled assessments

Tools of the trade

Stacks we're fluent in.

ReactNext.jsTypeScriptNode.jsElectronPythonPostgreSQLMongoDBAWSDockerOpenAITailwindCSS
Tell us what you're building
Scribes · Copilots · Voice · RAG · MCP✺Industry-first engineering✺Scribes · Copilots · Voice · RAG · MCP✺Industry-first engineering✺Scribes · Copilots · Voice · RAG · MCP✺Industry-first engineering✺Scribes · Copilots · Voice · RAG · MCP✺Industry-first engineering✺