AI Deployment Lab For Enterprises
We work with the world’s leading AI platforms to take bespoke solutions from discovery to outcomes.
Deployments
Agents and AI applications in production for enterprise and government.
Agents and solutions →02Data and evaluation
Expert data and evaluations, used to train and benchmark agents before and after they go live.
Data and Evaluation →03Talent
400+ vetted engineers and domain experts, on your project in days.
Talent →Trusted by leading AI teams
Anthropic
OpenAI
Cohere
Abundant Labs
Defined.ai
aiXplainSolutions
- Finance AP Agent
- Human Resources Agent
- Customer Support Agent
- Procurement Agent
- Compliance Agent
- IT Helpdesk Agent
Built on Claude, ChatGPT and Cohere, connected to your systems and governed from day one.
Agents and solutions →Agents designed around how your organization works, tested against your own metrics.
Agents and solutions →Open-source models fine-tuned on your data by our expert techniques and evals, and run on your infrastructure.
Our work →Sectors
Who we work with
Three kinds of partners
Marketing, deploying, and benchmarking partner platforms.
Expert data →Agents and AI applications built on your data, with the talent to run them.
Agents and solutions →AI products and solutions for public-sector teams.
Agents and solutions →Data and
talent
- 01 Generate: experts write the data
- 02 Label: the rubric is applied
- 03 Review: checked against the rubric
- Training-ready data
Golden datasets, SFT, and the fine-tuning runs that use it. We measure the improvement against a baseline.
Expert data →RLHF, reward models and RL environments that teach agents to finish real tasks, not just answer questions.
RL →Benchmarks and red teaming show where a model or agent fails before users find out.
Evaluation →Sourcing, assessment and managed workforces. 25,000+ applicants examined, 350+ engineers hired.
Talent →What we deliver
See how we run the work.
MENAOS is the system we run every project on. Pick a role to see what each person sees. Sample data only.
Management overview
Company-wide operational health across delivery, quality, workforce, and targets.
Acceptance rate
- 1,142 accepted
- 99 rejected
- 7 in dispute
Of settled outcomes. A rejection counts the moment the client rules and only moves to accepted if a dispute wins.
Task status mix
- Accepted1,142
- With the client64
- Rejected99
- In progress31
- Awaiting review here18
Work sent out
How much has gone to the client over the period, and is the volume steady?
Needs attention
- Project with highest rejection rate: 'Support Tickets' (9.8%)
- Most active project: 'Ticket Triage' (512 tasks)
- 3 rejections are waiting for a decision from a team lead
Management sees delivery, quality and hiring health across every project and client, and can open any team, project or report.
Our work
Selected work for AI companies, enterprise and government.