Self-Improving · On-Chain · CMMC-Aligned

KianBot
Autonomous AI Software Factory

The only AI development platform where every build is cryptographically anchored to a private blockchain. Self-improving. Fully on-premises. Every action auditable forever.

Request Demonstration
57+
Builds Processed
22
AI Improvements Learned
1M+
Tokens Processed
0
Data Leaves Premises
From Prompt to Production — On-Chain
1

Build Request

API request received. User submits target repository, build spec, and language. Authentication via AES-256-GCM encrypted API keys.

2

Anchor: build_start

Build event anchored to SentinelChain immediately. Timestamp, request hash, and node signature recorded on-chain before any work begins.

3

AI Analysis + Code Generation

Local Qwen 3.6B model analyzes codebase, generates implementation. Queries learning warehouse for patterns from previous 57 builds. Zero external API calls.

4

Test + Validation

Generated code runs against existing test suite. Build telemetry captured: success rates, error types, time-to-completion by language and complexity.

5

Learning Warehouse Update

Successful patterns, failure modes, and performance metrics stored in PostgreSQL learning warehouse. Self-improvement cycle — every build makes the next one better.

6

Anchor: build_complete

Final outcome anchored to SentinelChain. Build result, performance metrics, and ECDSA signature committed to chain. Immutable record of every build, forever.

// Learning Engine
What KianBot Learns

The warehouse grows with every build. Pattern recognition improves continuously. All on-premises, all auditable.

Build Patterns

Which prompt structures lead to successful builds. Which code patterns fail validation. Language-specific heuristics refined across 57 builds and counting.

PythonJavaScriptTypeScriptGo

Error Intelligence

Categorized failure modes: syntax errors, logic failures, dependency conflicts, test failures. Each failure informs future build strategies.

Error ClassificationRoot Cause

Performance Metrics

Build time by language, complexity, and model. Token efficiency per task type. Identifies bottlenecks and optimizes resource allocation.

TelemetryOptimization

Improvement Tracking

22 discrete improvements identified and catalogued. Each improvement has a before/after build comparison, anchored to SentinelChain for accountability.

On-Chain RecordAuditable
Real-Time Intelligence Data
# Live learning warehouse metrics
GET /stats/learning

{ "learning_warehouse": {
    "total_improvements": 22,
    "applied_to_builds": 57,
    "learning_rate_pct": 38.6 },
  "blockchain": {
    "anchored_events": 11531,
    "chain_integrity": "VERIFIED",
    "node_id": "kianbot-api-ct108" },
  "infrastructure": {
    "data_residency": "on-premises",
    "cloud_dependencies": 0,
    "location": "Boca Raton, FL, USA" } }
// Government Use Case
Why Defense Agencies Need This

Auditable AI Actions

Every AI decision, every build, every model query — anchored to SentinelChain. Inspector General can verify exactly what the AI did, when, and what it produced.

No Training Data Leakage

Models run locally on KB-owned hardware. Sensitive government code never transmitted to OpenAI, Anthropic, or any third-party API. Full data sovereignty.

Continuous Improvement Proof

The learning warehouse proves the AI is getting better over time — with cryptographic evidence. Quantifiable ROI for program offices.

Rapid Deployment

Deployed from concept to production in under 90 days by a solo founder. Demonstrates the speed advantage of purpose-built small business software.

Deploy KianBot in Your Environment

On-premises deployment, full source code, CMMC-aligned architecture. Bring your own hardware or use KB Software managed infrastructure.

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