Promptic
Promptic is a GenAI optimization platform for tracing, evaluating and optimizing AI agents and LLM prompts.
What Promptic is
Promptic is a GenAI optimization platform for tracing, evaluating and optimizing AI agents and LLM prompts. It benchmarks models and tunes prompts, agents, tools and extraction workflows against customer data and selected quality, cost and latency measures. Through OpenTelemetry, it captures LLM calls, tool calls and workflow steps, including tokens, cost and latency for each span. Coding agents can compare architectures, inspect traces, suggest implementation changes and check those changes against evaluation data. Workflows are available through a dashboard, Python SDK, CLI and REST API. Documented model access includes OpenAI, OpenRouter, Google AI Studio, Google Vertex AI, Azure OpenAI and custom OpenAI-compatible endpoints. With BYOK, target-model predictions use customer credentials, but optimizer-model calls generally use managed models except for supported OpenAI-key workflows. Promptic says it does not use customer content to train foundation models or create generalized model datasets. The free plan includes one user, one AI application, 200K credits per month, 1 GB retained storage and 14-day trace retention. The Team plan costs €149/mo, billed monthly.
Good
- Traces include tokens, cost and latency per span.
- Includes a Python SDK, CLI and REST API.
- Supports several model providers and custom endpoints.
- Free plan includes 200K credits per month.
- Customer content is not used to train foundation models.
Watch out
- Free plan allows one user and one AI application.
- Free plan retains traces for 14 days.
- Free plan includes 1 GB retained storage.
- Special-category and highly sensitive data should not be submitted without written agreement.
Who it suits
It suits teams working on AI agents or LLM prompts that need to inspect traces and evaluate quality, cost or latency. The free tier is for a single user and one AI application, with limited credits and trace retention.
Verdict
Promptic combines trace inspection with evaluations and optimization workflows for AI applications. Its free tier has firm usage and retention limits, while paid plans add capacity and support options.
Plans and prices
From Promptic's own pricing page, checked 30 Sep 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Free | Free | 1 user · 1 AI Application · 200K Promptic Credits/month · 14-day retention · bring your own model keys |
| Team | €149 a month | Unlimited users · 1 AI Application included · 1M Promptic Credits/month · 30-day retention · BYOK or optional managed model usage · Monthly |
| Business | €599 a month | Unlimited users · 5 AI Applications included · 5M Promptic Credits/month · 90-day retention · priority support · advanced optimization, trace evaluations, CI/CD gates and RBAC · Monthly |
| Enterprise | Priced on request | Custom applications and credits · custom retention · SSO/SAML · SCIM · audit logs · SLA · dedicated support · Private Cloud/BYOC available · Custom |
The facts
Each one read from Promptic's own pages, with the date it was checked.
What it does
- API and SDK
- The documentation describes dashboard, Python SDK, CLI, and REST API workflows, and the pricing page includes API/SDK access on every plan.checked 30 Sep 2026
- BYOK limit
- With a configured BYOK model, target-model predictions use the customer's provider credentials, while optimizer-model calls still use managed models except for supported OpenAI-key workflows.checked 30 Sep 2026
- Coding agents
- Promptic says coding agents can compare architectures, inspect traces, propose implementation changes, and validate changes against evaluation data.checked 30 Sep 2026
- Data residency
- Promptic says core production infrastructure has an EU focus where available, while managed-model processing regions vary and are shown in the model picker.checked 30 Sep 2026
- Data use
- Promptic says it does not use customer content to train foundation models or build generalized model datasets.checked 30 Sep 2026
- Optimization
- It benchmarks models and tunes prompts, agents, tools, and extraction workflows against customer data and selected quality, cost, and latency KPIs.checked 30 Sep 2026
- Product
- Promptic describes itself as a GenAI optimization platform for tracing, evaluating, and optimizing AI agents and LLM prompts.checked 30 Sep 2026
- Provider integrations
- Documented model access includes OpenAI, OpenRouter, Google AI Studio, Google Vertex AI, and custom OpenAI-compatible endpoints; the privacy policy also names Azure OpenAI access.checked 30 Sep 2026
- Security
- Its listed safeguards include TLS in transit, access controls, row-level database security patterns, encrypted provider secrets, monitoring, backup and recovery, and incident response.checked 30 Sep 2026
- Sensitive data
- The privacy policy asks customers not to submit special-category data, criminal-offence data, protected health information, secrets, or other highly sensitive data unless Promptic has agreed in writing.checked 30 Sep 2026
- Support
- The pricing page lists community support for Free, standard support for Team, priority support for Business, and dedicated support for Enterprise.checked 30 Sep 2026
- Tracing
- It captures LLM calls, tool calls, and workflow steps using OpenTelemetry, including tokens, cost, and latency per span.checked 30 Sep 2026
Money
- Free tier limits
- The Free plan includes 200K Promptic Credits per month, 1 GB retained storage, and 14 days of trace retention.checked 30 Sep 2026
The company
- Headquarters
- Frankfurt, Germanychecked 28 Sep 2026
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