Multi-agent intelligence, 7 execution strategies, and a full tool registry — an AI that actually does work.
When tasks are complex, Obsigen runs a parallel Swarm of specialized agents to reduce blind spots and improve reliability.
Up tp 100 parallel solvers, critics, researchers, and testers provide coverage, robustness, and fewer misses.
Consolidation into one coherent solution. Removes contradictions and reconciles competing approaches.
Dedicated verification and stress tests improve accuracy and reduce hallucinations.
Executive-ready synthesis — clean, structured output ready for decision makers.
Every query is an optimization problem. Obsigen solves it before it even starts generating.
Obsigen implements a strategy-routing layer that treats every user query as an optimization problem over multiple, purpose-built execution paradigms. Instead of relying on a single, static inference mode, the system performs intent classification, complexity estimation, and risk–cost–latency profiling to determine which reasoning and tool-use configuration is most likely to produce a correct, complete, and verifiable outcome. In practice, this means Obsigen can dynamically select between low-latency response modes for routine informational requests, tool-centric agentic modes for tasks requiring external evidence (search, file analysis, code execution), and multi-agent or hybrid modes when the problem demands broader exploration, adversarial self-critique, and structured validation.
This routing process is not a cosmetic UI switch; it is an explicit control policy over an execution graph. The policy evaluates signals such as: the degree of open-endedness, the presence of structured inputs (documents, tables, logs), the required level of factual grounding, the expected need for decomposition into sub-tasks, and the tolerance for uncertainty. Based on these signals, Obsigen allocates computational resources—e.g., selecting a single high-capability reasoning model for deep but focused analysis, or activating a distributed "Swarm" of specialized agents to parallelize hypothesis generation, evidence gathering, and counterexample search. For high-stakes domains like SOC operations or production planning, the router can bias toward strategies that include verification stages, consistency checks, and provenance-aware outputs.
Crucially, the routing layer remains operator-governed: users can allow full automatic selection, enforce constraints (e.g., "no web," "always verify," "tool-only"), or manually choose a strategy when organizational policy, compliance posture, or time constraints require deterministic behavior. This creates a transparent and controllable mechanism for aligning AI behavior with enterprise requirements—balancing accuracy, explainability, auditability, and performance—while ensuring that each request is executed under the most appropriate computational and procedural regime for the task at hand.
| Routing Signal | What It Evaluates | Strategy Outcome |
|---|---|---|
| Intent Classification | Informational vs. analytical vs. generative request | Low-latency or Agentic |
| Complexity Estimation | Sub-task decomposition, open-endedness | Hybrid or Swarm |
| Structured Inputs | Documents, tables, logs, images present | Tool-centric file & code execution |
| Factual Grounding | Need for external evidence or RAG retrieval | Search + verification stages |
| Risk & Stakes | SOC ops, production planning, compliance | Multi-agent with consistency checks |
| Operator Constraints | "No web," "always verify," "tool-only" policies | Manual override or constrained auto-routing |
Obsigen includes a tool registry enabling real execution — not just text generation.
Multi-source search + crawling + context extraction. Brave → SearXNG → Tavily fallback chain.
Parses and analyzes PDFs, Office documents, and images using vision + structured parsing.
Secure Python execution in Docker containers. No network access, timeouts enforced, per-run isolation.
Creates visual assets, diagrams, and marketing materials with FLUX.1-schnell fast generation.
Builds professional PPTX deliverables automatically — executive-ready decks from conversation.
Image and document analysis with Llama-4-Scout-17B for visual understanding and data extraction.
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