Optiak

What Optiak does

Optiak is the Enterprise AI Operating Layer, a control plane that sits between applications and AI models, making enterprise AI simple, smart, and secure. It unifies essential AI deployment layers including routing, prompt enrichment and retrieval, memory, security and governance, optimization, integrations, and observability into one modular platform. This platform provides cross-layer intelligence that learns from an organization's AI usage to continuously improve. Built enterprise-first and Europe-first, Optiak is agnostic to clouds, models, and services, offering full control and optimization for AI deployments.

Key capabilities

• Agnostic to clouds, models, and services
• Configurable applications and agents
• Integration with existing tech stacks
• Evaluation engine for latest models
• Works with agents, copilots, workflows
• Plugs in any service (RAG, security, observability, performance)
• Access and switch between 200+ models instantly
• Control at every level with policies and security protocols
• Full visibility into AI interactions
• Optimized intelligent pipeline for routing
• Continuous learning to improve performance, security, cost
• Modular architecture for future-proofing
• Instant component swaps
• Multi-provider, multi-region resilience
• Unique endpoint generation for applications/agents
• Unified management of AI fleet
• Plug in any AI applications (agent, chatbot, workflow, custom application)
• All models, one API (GPT, Claude, Gemini, Mistral, Llama)
• Run models through any provider (OpenAI, Anthropic, Vertex AI, AWS Bedrock, Azure)
• Add fine-tuned or on-premises models
• Connects to AWS, Azure, Google Cloud, European sovereign providers
• Deployment as managed SaaS, private cloud, or on-premises
• Unified dashboard for traces, cost metrics, performance signals
• Pipes data into existing observability tools
• Enterprise-grade security with centralized guardrails
• Protection against prompt injections, PII, sensitive data leakage
• Per-application policy tuning
• Zero-data-retention routing
• Full audit trails
• Data residency rules
• Model access controls
• Usage budgets
• RBAC tied to user and agent identity
• Onboard knowledge bases, databases, enterprise systems once
• Smart model routing based on task complexity, user context, governance, data residency, cost, availability, reliability
• Prompt optimization with enrichment of queries
• Continuous refinement of requests based on output quality
• Context optimization with organizational knowledge, historical traces, live business data
• Intelligent memory and retrieval layers
• Continuous system learning from performance signals

Use cases

• Running, managing, and continuously improving AI deployment
• Configuring AI applications and agents
• Scaling AI applications or agents
• Setting policies and security protocols for AI applications
• Monitoring performance of AI applications
• Optimizing AI interactions for performance, security, cost
• Future-proofing AI setups
• Connecting AI applications and agents via endpoints
• Deploying centralized guardrails against prompt injections, PII, sensitive data leakage
• Defining data residency rules, model access controls, usage budgets
• Making knowledge bases, databases, and enterprise systems available to authorized applications
• Routing queries to optimal models
• Enriching queries with information, instructions, and retrieved data
• Injecting context into AI interactions

AI approach

Optiak provides an Enterprise AI Operating Layer that acts as a control plane between applications and AI models. It unifies layers for routing, prompt enrichment, retrieval, memory, security, governance, optimization, integrations, and observability into a modular platform. The platform is designed to be agnostic to clouds, models, and services, allowing users to configure applications with their choice of tools, data, policies, and models. It continuously learns to improve performance, security, cost, and other outcomes. Optiak supports various models (GPT, Claude, Gemini, Mistral, Llama) and providers (OpenAI, Anthropic, Vertex AI, AWS Bedrock, Azure), and allows for the addition of fine-tuned or on-premises models. It also includes smart model routing based on task complexity, user context, governance constraints, data residency, and real-time model signals, as well as prompt and context optimization.

Tech named: GPT, Claude, Gemini, Mistral, Llama, OpenAI, Anthropic, Vertex AI, AWS Bedrock, Azure

What it says sets it apart

• Enterprise-first and Europe-first approach
• Agnostic to clouds, models, and services
• Unifies multiple AI deployment layers into one modular platform
• Cross-layer intelligence that learns and improves over time
• Provides full visibility and control over AI interactions
• Modular architecture for future-proofing and adaptability
• Supports multi-provider, multi-region resilience
• Offers various deployment options (SaaS, private cloud, on-premises)
• Built-in enterprise-grade security and governance
• Smart model routing based on real-time signals
• Continuous system learning for ongoing improvement

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.