Federal Contract Intelligence
TheAIthatwinsgovernmentcontracts
FCIS deploys 32 AI agents that independently analyze, debate, and reach consensus on optimal bid pricing. Everything runs locally. Nothing leaves your machine.
Active Cycles
3
Contracts
247
Win Rate
73%
Avg Accuracy
91.3%
Active Contracts
47
+12 this month
AI Agents
32
5 layers active
System Accuracy
91.3%
up from 87.2%
Knowledge Base
2,847
1.2 GB indexed
Portfolio Verdicts
GOD Agent| Contract | Agency | Bid | Conf. |
| GMNF Facility Repair | USDA | $187,200 | 94% |
| VA Clinic HVAC | VA | $342,500 | 87% |
| Fort Hood Roofing | DOD | $89,700 | 72% |
| GSA Office Reno | GSA | $1.2M | 68% |
| EPA Lab Paint | EPA | $45,300 | 91% |
Accuracy Trend
91.3%Analyzing contracts across federal agencies
The problem
Manual bidding is a losing strategy
Small businesses spend weeks on every bid, price by gut feel, and start from zero each time. The math never works in their favor.
0+ hrs
per bid on manual research
0%
average pricing deviation
0%
lose on price, not quality
With FCIS
32 agents. One winning bid.
AI agents independently analyze, debate, and reach consensus. Structured disagreement produces pricing accuracy no single estimator can match.
0 min
from solicitation to bid
<0%
deviation from award price
0x
consensus review rounds
Features
Built for contractors who refuse to lose
Every tool you need to analyze, price, and win federal contracts — powered by a swarm of AI agents that never sleep.
32 Specialized AI Agents
Five tiers of intelligence work in concert
Data collection, analytics, domain expertise, synthesis, and supreme arbitration. Each agent has a job. None of them agree until the math checks out.
4-Round Consensus
Structured debate, not groupthink
Agents analyze independently, cross-review each other, resolve disputes, then converge. Not one opinion — structured debate until the numbers align.
95% Accuracy Target
Within 5% of actual award price
Verified across hundreds of contracts
100% Local & Private
Every computation on your hardware
Zero Cloud
Ollama + Llama 3.1 — no cloud, no telemetry, no exceptions.
Continuous Learning
Every bid makes the next one better
Feed it RSMeans, Davis-Bacon tables, past bid tabs. The system extracts atomic facts and compounds accuracy over time.
Agent Evolution Lab
Clone, merge, and A/B test agents
Clone top performers. Merge two specialists into a hybrid. A/B test prompt strategies. Your AI team evolves with every cycle.
Complete Procurement Intelligence
End-to-end federal contracting pipeline
SAM.gov integration, solicitation parsing, FAR/DFARS compliance checks, wage determination lookups, and proposal generation.
How It Works
IMPORT
Drop in your solicitations
Connect to SAM.gov or drag-and-drop your files. FCIS auto-maps 90+ column variations, detects NAICS codes, validates data integrity — and it's ready for analysis in under a minute.
Interactive Demo
See it in action
Click through the dashboard. Everything below is interactive — explore contracts, agents, full cycle analysis. All data is simulated.
Active Contracts
47
+12 this month
AI Agents
32
5 layers
System Accuracy
91.3%
up from 87.2%
Knowledge Base
2,847
1.2 GB indexed
Active Cycle
VA Medical HVAC
Recent Disputes
Your bid data never
leaves your machine.
Zero-trust architecture from the ground up. Your competitive intelligence never touches a server you don't own.
Local AI Engine
Ollama runs on localhost. Zero internet required for inference. Your GPU does the work — nothing phones home.
Encrypted Storage
PIN-protected access, SHA-256 hashed credentials, all data on your local drive. No cloud sync. No telemetry.
Controlled Exceptions
Only SAM.gov for contract data and an optional Claude API for parsing. Everything else stays local.
Results
Contractors who stopped guessing
“FCIS cut our bid preparation from 3 weeks to 2 days. We've been within 3% of award price on our last 6 bids.”
John D.
Federal Contractor
3%
price accuracy
agents
accuracy
per bid
Your competitors are
still guessing.
See how 32 AI agents can transform your federal contracting win rate. No commitment required.