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AI Solutions

We build AI, and the data work behind it.

Conversational assistants, generative AI, retrieval, and agents. Built by a team that also does the labeling, fine-tuning, and evaluation underneath. Ten thousand vetted specialists, forty-plus countries.

10,000+
Vetted specialists
40+
Countries
5
AI practice areas
Since 2011
In business

What we build

Applications people can put in front of customers.

01

Conversational AI

Voice & chat

Assistants for support, sales, and internal help desks. Voice or chat, wired into your systems, grounded in your data so they answer from fact instead of guessing.

02

Generative AI

Copilots & documents

Copilots and document tools that draft, summarize, and pull out what matters. Trained on your content, run where your data already lives.

03

RAG

Grounded retrieval

The model answers from your own documents, with citations, instead of making things up. The difference between a demo and something people actually trust.

04

Agentic AI

Tool-using agents

Agents that take real steps: look things up, call tools, finish the task. With a checkpoint wherever a person needs to sign off.

05

AI Automation

Document & workflow

The high-volume, low-glamour work, handled. Reading documents, classifying, routing, and the judgment calls in between.

How we build it

The applications are the easy part.

What makes them work is the data underneath: examples to learn from, human feedback to steer them, and honest evaluation to catch where they fail. That is the work we have done at scale for years, for some of the teams building frontier models.

  • Data labeling and annotation
  • LLM fine-tuning (SFT)
  • RLHF and human feedback
  • RAG and search relevancy
  • Model evaluation and red-teaming
  • Multimodal: text, image, audio, video

Rank the responses

Prompt

Explain the main theme of this poem and how the imagery supports it.

Response A

The poem contrasts freedom and captivity through the caged bird and the free bird…

Response B

The theme is the tension between freedom and captivity, carried by the imagery of the caged bird against the free one…

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5
Prefer ANo preferencePrefer B

Preference ranking from our annotation work. Multiply it by tens of thousands of judgments and you have a model that has learned what good looks like.

Tell us what you're building.

We will tell you what it takes to make it work in production, not just in a demo.

Contact Sales