AI development · Production AI, engineered

Autonomous agents, assistants that know your data, and vision, voice and media features, tested before launch and run on our own AI platform.

AI development includes

  • AI agents
  • Assistants on your data
  • Model fine-tuning
  • Model training
  • Model hosting
  • Configuration
  • Vision & speech
  • Generative media
  • Evaluation

What you get

01

Autonomous agents

Agents that use your tools, remember context and finish multi-step work.

02

Assistants on your data

Chat assistants grounded in your documents and systems, with sources.

03

Model fine-tuning

Adapt an existing model to your domain, your tone and your tasks with your own data.

04

Model training

Train custom models for the jobs a general model does not do well, with clean data and measured results.

05

Model hosting

Run your models on our own GPU platform, scaled to demand, so you do not manage servers.

06

Configuration & deployment

Prompts, tools, guardrails, access and monitoring configured and connected to your product.

07

Vision & speech

Read images and documents, understand and generate speech.

08

Generative media

Image, video, voice and music features inside your product.

09

The Spark AI API

Call our models through one API with tiers and credits.

10

Evaluation & safe deployment

We test answers, set guardrails and monitor after launch.

Who it is for

Product teams

Adding AI features to an app that already has users.

Teams with their own data

A model tuned on your documents, tickets or catalogue instead of a generic one.

Companies with lots of documents

Making knowledge searchable and usable.

Media and marketing teams

Content made faster with generative tools.

How it starts

  1. 01

    Prove it

    A working prototype on your own data, fine-tuned or prompted, measured against your real examples.

  2. 02

    Harden it

    Training, evaluation, guardrails and the integration into your product.

  3. 03

    Host and run it

    Hosting, configuration, monitoring and steady improvement.

Questions

We choose the right model for each job and run it on our own AI platform, so you are not tied to one provider.

Yes. Assistants can be grounded in your documents and systems and show where an answer came from.

Yes. We can fine-tune an existing model on your data or train a custom model for a specific task, and we measure the result against your own examples before it goes live.

Yes. Your models can run on our GPU platform, scaled to demand, with the access rules, monitoring and configuration set up for your product.