Seekr

Founded 2021

Build, evaluate, and deploy transparent artificial intelligence models across secure private or cloud infrastructure

Pricing model

Paid

You can use Seekr to build, evaluate, and deploy transparent machine learning models and agents across cloud, on-premises, and edge environments. It provides tools to test models for accuracy, audit decision paths, and ensure compliance with strict industry regulations like GDPR and CCPA. Organizations can connect their proprietary data, fine-tune models to reduce errors, and run automated evaluations without exposing sensitive information. It also lets defense, government, and enterprise teams track relationships in complex data sets and analyze sensor data for critical operational decisions.

What Seekr does

Test models against custom organizational benchmarksTrack data lineage and model explainability metricsDeploy generative AI agents to private serversMap connections across disparate unstructured intelligence feedsFine-tune open-source models using proprietary documentsGenerate audit reports for regulatory compliance checksDeploy models across cloud, on-premises, edge, and air-gapped environmentsAudit and explain AI model decision logic in real timeEvaluate and benchmark models against internal compliance guidelinesAnalyze multi-sensor data streams across time for geographic intelligenceUncover and map hidden networks across complex relational dataFine-tune models using private enterprise data without external leakageCertify model behavior to meet regulatory standards like GDPR and CCPA

Pricing breakdown

Pricing model: Paid

PlanList price

Term Licenses – Customer Hosting (per GPU) (paid yearly)$7,000 / yr total

Frequently asked

AMD Instinct GPUs, Oracle Cloud Infrastructure, Oracle Cloud Infrastructure (OCI), AWS GovCloud, Dell / HPE / Lenovo Hardware, Python SDK, REST APIs, Mistral / Meta / Google Models, MACH Alliance Ecosystem

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