Meets your stack where it is

Model providers, telemetry, CI, and alerting. Hyperpriors sits between the systems you already run — no custom glue, no forced migration.

01 — Directory

Amazon Bedrock

Harness and evaluate foundation models served through Amazon Bedrock, with Hyperpriors traces and evaluation gates alongside your existing AWS governance.

platforms

Anthropic Claude

Run Claude behind the Hyperpriors harness, with evaluation suites, guardrails, and full-fidelity tracing for every call your agents make.

models

Azure AI Foundry

Harness and evaluate models deployed through Azure AI Foundry, with Hyperpriors traces and evaluation gates alongside your existing Azure governance.

platforms

Databricks

Evaluate, guard, and observe models served from the Databricks lakehouse: Mosaic AI Model Serving endpoints under the Hyperpriors control plane.

platforms

GitHub Actions

Run Hyperpriors evaluation suites in CI and gate merges on model behaviour, exactly as you gate them on tests.

ci-cd

Google Gemini

Use Gemini models inside the Hyperpriors harness, with evaluation coverage, guardrails, and per-call telemetry across the model family.

models

LangChain

Run LangChain and LangGraph applications under the Hyperpriors control plane: harnessed execution, node-level traces, evaluation gates, and runtime guardrails.

orchestration

NVIDIA NIM

Evaluate, guard, and observe self-hosted models served through NVIDIA NIM inference microservices under the Hyperpriors control plane.

platforms

OpenAI

Put OpenAI models behind the Hyperpriors control plane: harnessed calls, evaluation gates, runtime guardrails, and complete telemetry.

models

OpenTelemetry

Export Hyperpriors traces, metrics, and telemetry over OTLP to any OpenTelemetry-compatible backend your organisation already runs.

observability

Slack

Send Hyperpriors alerts to the channels your team already watches: guardrail triggers, eval regressions, drift, and cost anomalies.

observability