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Research · Vendor site 2026-10-04
MangoDesk builds production-grade reinforcement-learning environments to evaluate and improve AI on real knowledge-work tasks. The team focuses on custom evals and post-training data creation for measurable model gains.
AI labs and enterprises that need RL environments and eval infrastructure for domain-specific model improvement.
Site provides contact at founders@mangodesk.com and hiring info but no self-serve pricing page.
MangoDesk connects evals and RL environments to meaningful use cases so teams can iterate models with measurable lift.
What it can do
Unknown is different from unavailable. Each fact carries its own evidence.
| Capability | Value | Evidence | Checked |
|---|---|---|---|
| RL environments | Homepage states MangoDesk evaluates and improves AI via production-grade RL environments. | Facts sourced | 2026-10-04 |
| Eval focus | Meta description emphasizes accelerating custom evals and post-training data creation. | Facts sourced | 2026-10-04 |
| Agent trajectories | Product UI references Agent Trajectory analysis for reviewing agent plans and traces. | Facts sourced | 2026-10-04 |
Understand the total cost
Pricing
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MangoDesk builds production-grade reinforcement-learning environments to evaluate and improve AI on real knowledge-work tasks. The team focuses on custom evals and post-training data creation for measurable model gains.
Not confirmed. This record does not confirm an ongoing free plan.
A listed monthly price has not been confirmed. See the plan cards for entitlements, billing commitments and seat minimums.
Not confirmed. API access and subscription access may have different terms; consult the linked sources.
Site provides contact at founders@mangodesk.com and hiring info but no self-serve pricing page.
No retained pricing changes yet. A current price alone does not establish a historical trend.
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