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Enterprise AI & Autonomous Systems

OmniAgent — Enterprise Autonomous Multi-Agent Knowledge Swarm

Multi-agent AI workflow orchestration platform automating complex technical RFP reviews, contract risk analysis, and ERP data sync.

CLIENT SECTOR
Industrial Manufacturing & Enterprise SaaS
SCALE / VOLUME
18,000 Hrs (Engineering & Legal Hours Reclaimed)
OmniAgent — Enterprise Autonomous Multi-Agent Knowledge Swarm
18,000 Hrs

Engineering and legal evaluation hours reclaimed annually

99.4%

Factual precision rate verified by human-in-the-loop audit

< 1.2s

Semantic hybrid vector search retrieval across 40M+ documents

Zero Leak

Confidential enterprise computing with strict role-based access

EXECUTIVE SUMMARY

Project Overview

AltosForge developed OmniAgent, a distributed multi-agent system deployed on confidential on-premise GPU clusters. The platform coordinates specialized autonomous agent teams that ingest 40M+ pages of engineering blueprints, regulatory filings, and SAP ERP databases, generating verified technical proposals and compliance audits with 99.4% factual precision.

THE BOTTLENECK

Knowledge Trapped in Siloed Legacy ERPs and Lengthy Bidding Cycles

✕

Senior aerospace and industrial engineers spent 15+ hours weekly searching through fragmented SharePoint, SAP, and legacy PDF repositories.

✕

Multi-million dollar government and commercial RFPs required 3 to 4 weeks of cross-departmental coordination, limiting bid capacity.

✕

Off-the-shelf generative AI models suffered from catastrophic hallucinations and lacked cryptographic source attribution.

✕

Strict defense and proprietary IP regulations prohibited sending corporate documents to public third-party LLM APIs.

ENGINEERING SOLUTION

Directed Acyclic Graph (DAG) Multi-Agent Swarm with Local Vector Verification

We built a private on-premise agent orchestration architecture using LangGraph, fine-tuned open-weights models, and hybrid vector indexing.

✓

Multi-Agent DAG Orchestrator

Task decomposition pipeline assigning sub-tasks across Ingestion, Analytical, Cross-Reference, Critic, and Synthesizer agent swarms.

✓

Milvus + Sparse BM25 Hybrid Index

Sub-second search engine indexing 40 million technical documents with dense embeddings and exact keyword matching.

✓

Dual-Agent Fact-Checking & Citation Engine

Every output statement is cross-verified against source document coordinates before presentation to human reviewers.

✓

On-Premise vLLM GPU Inference Cluster

Secure Kubernetes GPU cluster running quantized enterprise models with zero external internet egress.

PRODUCTION ARCHITECTURE

Technology Stack & Infrastructure

PythonLangGraphMilvus Vector DBvLLMFastAPINext.jsPostgreSQLRedisDockerKubernetes
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OmniAgent transformed how our engineers access technical IP. What used to take three senior directors two weeks is now verified in under ten minutes with complete mathematical citations.

Dr. Aris Thorne
Senior VP of Engineering & Systems • Global Industrial Technologies

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