Deploy Your AI Lab
Every company will become an AI company and will need an AI lab, but most businesses in emerging markets lack the resources to build one. We give them the stack to train, deploy, and manage AI models and agents.
A full-stack platform to deploy your own AI Lab.
01Fine-Tuning
Adapt open models to the languages, domains, and data of your market.
Run your first job1.180+ open base models
1.2Low-resource language support
1.3Private by default, data stays in-region
FIG.1
ID
ENVIRONMENT
SAMPLE
REWARD
{{ selected.name }}
{{ selected.ver }}
{{ selected.org }}
FIG.2
Reward
0.91
{{ p.k }}
{{ p.v }}
2.1Tool & API orchestration
2.2Human-in-the-loop review
2.3Full audit trail on every action
FIG.3
3.1Inference across 14 in-region zones
3.2Autoscaling GPU & CPU pools
3.3Sub-100ms in-region latency
FIG.4
4.1Cost & latency dashboards
4.2Evaluate against your own benchmarks
4.3Route insights back into fine-tuning
FIG.5
RESEARCH / 03
Notes from the field
Customer Stories
Marula/ NAIROBI
"We fine-tuned a Swahili support agent and served it from af-east-1. Quality went up and our infrastructure finally sits in-region."
84ms
P95 IN-REGION
3 langs
IN PRODUCTION
Saheli/ MUMBAI
"Bergamot lets us run Hindi and Marathi agents in production without shipping a single row of customer data out of the country."
0
DATA EGRESS
2 markets
LIVE
Build AI where your users are.
Train on local data, deploy to in-region compute, and manage everything from one console.