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AI Product Studio

We build AI products
that ship.

LucidNest designs and ships AI-powered products, agents and platforms — production-ready in weeks, for founders launching and enterprises automating.

Start a projectSee the work
Products launched
50+Products launched
Founders supported
25+Founders supported
AI systems in production
15+AI systems in production
Client retention
98%Client retention

01/Capabilities

What we take on

Five disciplines and one retainer. Most engagements draw on more than one of them.

  • 01

    Full-cycle AI product development

    Discovery to production in 4–8 weeks.

    We take an idea from a blank page to a deployed product with real users on it. One team owns research, design, engineering and launch, so nothing gets lost in a handoff.

    • Product discovery and scoping
    • Interface and interaction design
    • Full-stack build and deployment
    • Post-launch iteration
  • 02

    AI-powered web & mobile apps

    Interfaces that get used, not just installed.

    Applications where the intelligence is part of the experience rather than bolted on — assistants, generation, ranking and personalisation woven into the flows people already follow.

    • Next.js and React Native builds
    • Streaming and real-time interfaces
    • Offline-tolerant mobile clients
    • Design systems built to extend
  • 03

    AI agents & automation

    Take the repetitive work off the team.

    Agents that handle the operational load a business runs on — triage, extraction, drafting, routing — with the guardrails, evaluation and human checkpoints that make them safe to trust.

    • Tool-using agents and workflows
    • Retrieval over your own corpus
    • Evaluation harnesses and tracing
    • Human-in-the-loop review paths
  • 04

    Cloud & infrastructure for AI

    Built to hold up under real load.

    The unglamorous layer that decides whether a product survives its own success: inference that scales, costs that stay predictable, and deploys that are boring on purpose.

    • Inference and serving architecture
    • Cost modelling and observability
    • CI/CD and infrastructure as code
    • Security and access review
  • 05

    Data & AI intelligence systems

    Turn what you already collect into leverage.

    Pipelines, warehouses and analysis layers that make a company's own data usable — and ready to feed the models that sit downstream of it.

    • Ingestion and transformation pipelines
    • Vector and analytical stores
    • Dashboards and reporting
    • Model fine-tuning and evaluation
  • 06

    ProDev — dedicated engineering

    A senior team that works only on you.

    A monthly retainer for teams who need durable capacity rather than a fixed-scope project. Same engineers, every week, embedded in your tooling.

    • 40+ hours of weekly capacity
    • AI, web, mobile and cloud in one team
    • Direct Slack or Discord access
    • Month to month, no lock-in

02/Selected work

Products in the world

Seven engagements, from a connected vehicle fleet to a national telemedicine network. Each one shipped and running.

03/How we work

Four phases, no surprises

Every engagement runs the same shape. You always know which phase you're in and what lands at the end of it.

  1. 01Week 0

    Scope

    Before anything is billed, we spend two days on the problem itself — what the product has to do, who decides it worked, and which parts are genuinely uncertain. Most engagements get smaller at this stage, not larger.

    • Written scope
    • Fixed price
    • Success criteria
  2. 02Weeks 1–2

    Shape

    Interface and data model together, because deciding one without the other is how projects acquire their expensive mistakes. You see working screens, not slide decks.

    • Interface design
    • Data model
    • Technical approach
  3. 03Weeks 2–6

    Build

    Weekly deploys to a real environment on your own domain from the first week. You use the product as it is built rather than reviewing it at the end, which is when course corrections are still cheap.

    • Weekly deploys
    • Live environment
    • Progress logs
  4. 04Week 6+

    Land

    Launch, then the part most studios skip: watching real usage and fixing what it exposes. Handover includes the repositories, the infrastructure and the reasoning behind both.

    • Production launch
    • Full handover
    • Post-launch support

04/Retainer

A senior team on retainer, not a ticket queue

ProDev is dedicated engineering capacity for teams who need durable velocity rather than a fixed-scope project. The same engineers, every week, working inside your tooling and your standards.

$1,000

first 30 days

$2,000

per month

How ProDev works
  • 40+ hours of dedicated weekly capacity
  • AI/ML, web, mobile, backend and cloud in one team
  • Internal QA and code review before anything reaches you
  • Direct access over Slack or Discord

05/Engagement

Priced up front

Fixed scope, fixed price, and two days of work before you commit to any of it.

Starter

$2,500one-time · 4–6 weeks

A focused first build — enough product to put in front of real users.

  • Discovery and scoping workshop
  • Core product build
  • Responsive web application
  • Deployment and handover
  • Two weeks of post-launch support
Start with Starter

Growth

Most chosen
$3,500one-time · 6–8 weeks

The full build with design given the time it deserves.

  • Everything in Starter
  • Bespoke design system
  • AI features and integrations
  • Analytics and event tracking
  • Six weeks of post-launch support
Start with Growth

Enterprise

Customscoped per engagement · Ongoing

A dedicated team for work that runs longer than a single project.

  • Everything in Growth
  • Dedicated multi-disciplinary team
  • Architecture and security review
  • SLA-backed response times
  • Named technical lead
Talk to us
  • Two days of development before you commit to anything.
  • You own the source code outright, from day one.
  • Fixed scope, fixed price — no hourly surprises.

06/In their words

What founders say

They treated it like their own product. The matching logic is the reason the platform works at all.

Rajesh Kumar

Founder, Shidosha

Case study

They understood the clinical domain, not just the software. What we ended up with genuinely changed how we deliver care.

Dr. Priya Sharma

Founder, Klinic

Case study

They brought AI capability that genuinely set us apart from the competition — and shipped it faster than we thought was realistic.

Alex Thompson

CEO, nowg.ai

Case study

A rare partner that took the time to understand the energy market before writing a line of code.

Erik Lindgren

CTO, El+Plus+

Case study

07/Contact

Tell us what you’re building

Whether it’s a rough idea or a roadmap that needs hands, start here. Most enquiries answered within 2–4 hours.

Budget