Services

What we build for clients.

The same team and standard behind our own products, working on yours. Mobile applications, production-grade AI systems, and the consultation to decide what is worth building.

Services

  1. 01

    Private enterprise AI

    Private AI systems for organizations that need control over their data, models and infrastructure.

    Assess where AI creates value, then architect, deploy and operate it inside your own environment: private LLMs, enterprise RAG, document intelligence, agents, integrations and the governance around them. One team from assessment to managed operations.

    • AI readiness assessment
    • Private LLM deployment
    • Enterprise RAG
    • Document intelligence
    • AI agents
    • Enterprise integrations
    • AI governance
    • Managed AI operations
    Private enterprise AI in depth
  2. 02

    Mobile app development

    iOS and Android apps, designed and shipped.

    From the first flows to the store listing. React Native with Expo or Flutter when one codebase should serve both platforms, native where the product demands it, and the backend to go with it.

    • Product design and prototyping
    • iOS, Android and cross-platform builds
    • Backend, auth, payments and notifications
    • App Store and Play Store release
  3. 03

    AI product development

    Production-grade AI, built to company standards.

    Retrieval-augmented generation with hybrid search, agentic workflows with tool use, computer vision and machine learning systems. Designed for accuracy you can measure, with evaluation, fallbacks and monitoring built in before anything ships.

    • RAG systems and knowledge assistants
    • Agentic workflows and automation
    • Computer vision, video and multimodal AI
    • Evaluation, guardrails and provider fallbacks
  4. 04

    AI consultation

    Where AI belongs in your product, and where it does not.

    Clear answers before you spend on a build: which problems are worth a model, which models fit, what it costs to run, how to evaluate results, and what the architecture should look like. Reviews of existing AI systems included.

    • Opportunity and feasibility assessment
    • Model, data and architecture selection
    • Accuracy and cost evaluation plans
    • Reviews of existing AI implementations
  5. 05

    End-to-end product engineering

    The whole thing, from idea to production.

    Design, mobile, web, backend, AI and infrastructure from one team, the way we build our own products. For founders and companies who want a product shipped rather than a set of deliverables handed over.

    • Product and interface design
    • Mobile and web applications
    • Backend, data and AI systems
    • Deployment, infrastructure and handover

Clients

Companies we have built for.

What we build

Every layer.
One team.

Most studios stop at the interface or hand off at the API. We take responsibility for the whole stack, so the product that ships is the one that was designed.

  1. 01

    Product & experience

    The parts people actually touch.

    Information architecture, interaction design, typography and motion. We design in the medium, on real devices, and treat the interface as engineering rather than decoration.

    • iOS
    • Android
    • Web
    • Design systems
    • Prototyping

    Proven inQuran, OnTheTab

  2. 02

    Mobile

    Native quality on both platforms, from one codebase when it makes sense.

    React Native with Expo when one team should ship iOS, Android and web together. Flutter when the product calls for it. Camera capture, device location, push notifications and uploads that keep going in the background.

    • React Native
    • Expo
    • Flutter
    • iOS
    • Android

    Proven inVemio, Scan3D Mods

  3. 03

    Backend

    APIs, data models and the jobs that run behind them.

    Node.js and Express or Python and FastAPI, chosen per product. PostgreSQL as the system of record, with pgvector when retrieval is part of the job. Redis and Celery for queues and long-running work.

    • Node.js
    • Express
    • Python
    • FastAPI
    • PostgreSQL
    • pgvector
    • Redis
    • SQLAlchemy

    Proven inVemio, Scan3D Mods

  4. 04

    AI & machine learning

    Models in production, not in notebooks.

    Retrieval-augmented generation with hybrid search, multimodal analysis of video and images, computer vision and 3D reconstruction, agents with tool use, and fallbacks so the product keeps working when a provider does not.

    • Gemini
    • Llama
    • Mistral
    • PyTorch
    • TensorFlow
    • Hugging Face
    • RAG
    • Embeddings
    • Vector databases
    • Computer vision
    • Multimodal models
    • AI agents
    • Video understanding

    Proven inVemio, Scan3D Mods

  5. 05

    Infrastructure

    Everything a product needs to be a business.

    Containers, reverse proxies, background workers and GPU capacity where the pipeline needs it. Authentication, payments in more than one market, webhooks, notifications and storage that can move from local disk to object storage without a rewrite.

    • Docker
    • Nginx
    • Celery
    • Background workers
    • GPU infrastructure
    • Cloud deployment
    • Storage
    • Authentication
    • Payments
    • Notifications

    Proven inVemio, Scan3D Mods

How we work

From idea to production, without the handoffs.

  1. 01

    Shape

    We start with the product, not the tech. What it is, who it is for, what has to be true on day one. Prototypes on real devices settle arguments early.

  2. 02

    Build

    Design and engineering run together in short cycles. You get working builds from the first weeks, not a reveal at the end.

  3. 03

    Harden

    Auth, billing, quotas, queues, retries, fallbacks, observability. The unglamorous work that makes a product survive real users.

  4. 04

    Ship

    App Store, Play Store, web and cloud. Documented, deployable, and yours. We stay on for the parts that only show up in production.

Contact

Tell us what you need built.

Tell us what you are building and where it is stuck. A short note is enough to start.

Send a message