Toloka Enterprise Solutions
Frontier quality,
at a fraction of the cost.
A fine-tuning service for narrow agent workloads. We build the expert-corrected data, the RL Gym environments, and the held-out evaluation, then post-train a small open model that matches the frontier API on your task.
CV parsing, per 1,000 documents
Mindrift, in production
Metric
Frontier API
Fine-tuned
Inference cost
$10.00–$30.00
~$0.80
F1 score
0.93
0.94
Cost scaling
Per token
Fixed compute
Same task, better score
12×–37× cheaper
Trusted by Leading AI Teams
The problem, and what we do about it
The problem
Your model works. The bill is the problem.
Frontier models are built to be good at everything, so you're paying for capability your workflow never touches. On high-volume, repetitive work the quality is fine — the bill isn't.
29%
of teams say token cost, not model failure, is what keeps AI projects from reaching production.
VentureBeat enterprise-AI Pulse survey, 2026
The solution
A small model, tuned on your tasks, can match the API you use today.
We build the expert-corrected data, the RL Gym environments, and the honest evaluation that make a fine-tune trustworthy — then post-train a small open model on your task. You get back a cheaper, reliable model you can keep improving.
The training run is the commodity. The moat is everything around it.
The quality of the data, the realism of the environments, and an evaluation you can actually trust.
01
Expert-corrected data
Trajectory demonstrations from your real workflows, plus expert step-by-step corrections to ensure quality.
02
RL Gym environments
Realistic gyms with verifiable rewards that reflect true task success, this is what stops the model from gaming the grader.
03
Only the training you can justify
SFT first, then gisting for efficiency. RL only where the eval proves it earns its cost. Every stage runs on Nebius compute.
04
The eval you can defend
A held-out slice that never touches training. One defensible cost-vs-quality number.
We meet you where you are.
Your data stays securely in your environment.
The endpoint
A drop-in, OpenAI-compatible endpoint. Start with a 1% slice of your traffic and widen it as the numbers earn it. We collect logs and trajectories and promote improved checkpoints inside your data boundary, with no egress of your raw data.
Full service, weights you own
We build the data and the gym to post-train an open model, then hand back the weights — hosted for you on Nebius, with private and on-premises storage options.
ISO 27001
ISO 27701
SOC 2 Type II
GDPR
CCPA
HIPAA
Proven in production.
~1 day
From frontier-model outputs to a fine-tuned open model with an evaluation report, for a leading commerce platform. Roughly six run in production today, up to 30× cheaper on the narrow task.
Read more
Send us one workflow. We'll tell you what it should cost.
A scoping conversation defines what "match the API" means in numbers, before anything gets built.