Inside the harness
Specialized agents, validation, scaffolding — the layer above raw AI.
More than an LLM call
Most AI extraction is one model call. When the model gets it wrong, you get a mistake. No safety net, no second opinion, no validation. The harness is everything Gemina puts around that call so production doesn't break.
Specialized agents, not a single model. Each agent contributes — extracting, validating, cross-checking, correcting — so the final result holds up in the real world, not just on cherry-picked demos.
That's the harness: agents wrapped in orchestration, validation, and quality controls. Production-grade by design, not by luck.
The harness is callable from both REST and MCP (Model Context Protocol). One hosted server exposes 13 tools: tag and rename files, run typed extraction, search the indexed collection, and compute exact totals. Any compatible agent can call them — Claude Desktop, Cursor, OpenClaw, Hermes-Agent, and others — signing in with OAuth or using an API key. See the MCP server
Graph-Based Workflow Orchestration
Our workflows are constructed as directed graphs where each node represents a discrete, well-defined operation: extraction, validation, quality assurance, or correction.
- Composable workflows - Build complex extraction pipelines from simple, reusable components
- Checkpointing - Pause, resume, or debug extractions at any point in the workflow
- State persistence - Full auditability of the decision-making process
- Extensible - Add new document types without rewriting core logic
Accuracy Through Intelligent Collaboration
No single AI model is universally reliable. Our system coordinates multiple specialized agents, each optimized for different aspects of document understanding, to produce results that are consistently more accurate than any single-model approach.
- Multi-agent validation - Results are cross-verified before delivery
- Confidence scoring - Know how certain each extraction is
- Intelligent tiebreaking - Disagreements are resolved systematically, not randomly
- Auditable decisions - Every extraction includes metadata explaining how results were determined
Defense in Depth
Quality assurance isn't an afterthought - it's woven into the architecture itself.
Automated Validation
Dedicated QA workflows evaluate every extraction using deterministic heuristics - no additional AI calls required for validation.
Per-Field Confidence
Every field carries its own confidence score. Uncertain values are flagged for review, never silently guessed.
Deterministic Corrections
When issues are found, corrections are applied through pure computational logic - ensuring the correction process itself cannot introduce new errors.
Every Decision Explained
Each extraction is logged with full metadata. Know exactly what was extracted, how it was validated, and why specific values were chosen.
Graceful Degradation, Not Catastrophic Failure
Enterprise reliability demands that component failures don't cascade into system-wide outages. Our architecture is built for resilience at every layer.
- Fault isolation - Individual component failures are contained, not propagated
- Automatic retries - Transient failures are handled with exponential backoff
- Circuit breaking - Failing services are isolated before they impact the system
- Dynamic routing - Documents are automatically routed based on characteristics and capacity
Built for Scale
From proof-of-concept to production workloads, Gemina scales with your needs.
Documents are processed in seconds, not minutes - with high-performance JSON serialization and response compression.
Built on globally distributed infrastructure with automatic failover and multi-region redundancy.
Proven at scale with millions of documents processed across diverse industries and document types.
Non-blocking I/O patterns and intelligent connection pooling handle thousands of simultaneous requests.
Modern, Production-Ready Stack
API Layer
FastAPI-powered REST endpoints with automatic OpenAPI documentation, strict runtime type validation, and high concurrency support.
Task Processing
Distributed task queue with horizontal scaling, automatic retries, and exponential backoff for transient failures.
Storage
Multi-region cloud storage with automatic failover, configurable data residency, and cryptographic integrity verification.
Caching
Multi-tier caching strategy with configurable TTLs, circuit breaking, and graceful degradation under load.
Observability
Structured logging with request correlation, real-time metrics, distributed tracing, and comprehensive health checks.
Security
Defense-in-depth with JWT authentication, API key management, IP allowlisting, and encryption at rest and in transit.
Ready to put the harness in production?
Full API access, all models included. No credit card required.