Zero-ticket workflows, sovereign JSONL training, and clearance-level audit trails.

spAIder · core

Phase 3 · Validator-Mode live in private beta

The Five Pillars

Infrastructure, not another wrapper.

Five guarantees that turn generative agents into auditable, deployable, regulator-ready production systems.

Zero-Ticket Swarm Intelligence

Agents communicate through the shared neural graph. Context propagates without JIRA, Slack handoffs, or human forms — engineering velocity decouples from people-throughput.

>120KB Cost Moat

Graph-resolved context replaces brute-force token stuffing. SpAIder ships ~5 KB where standard RAG ships ~125 KB — ~22× cheaper at production scale.

125 KB
Standard RAG
5 KB
SpAIder

Sovereign Data Factory

Export the live graph as JSONL to fine-tune Llama 3 or Mistral inside your VPC. Training data never leaves your perimeter.

export --format jsonl --scope tenant_a
↳ 4.1M edges · 1.2M nodes
↳ sha256 verified
✓ ready: llama3-70b-finetune.jsonl

Compliance & Audit

Clearance-level RBAC, deterministic Kafka event replay, per-edge provenance. SOC 2, FedRAMP, FINRA-ready out of the box.

SOC 2 Type II
FedRAMP Mod
FINRA 4511
HIPAA

MCP-Native

Drop into Cursor, Claude Code, or Windsurf with a four-line MCP config. Zero wrappers, zero vendor lock-in.

~/.mcp/config.json
{
  "mcpServers": {
    "spaider": {
      "command": "spaider-mcp",
      "args": ["--port", "8080"]
    }
  }
}

Under the Hood

The 3-Tier Cognitive Architecture.

For Chief Architects and ML leads: the exact mechanisms keeping SpAIder out of the “RAG wrapper” category.

Tier 2  ·  Synthesis Ensemble

The synthesis ensemble doesn't rank — it attacks.

Passive retrieval is dangerous. Our Tier 2 Ensemble doesn't just rank candidates, it attacks them. Validator-Mode acts as an aggressive critic — it defaults to a high score and systematically deducts on a strict 4-rule rubric: Hallucination, Factual Drift, Missed Multi-Hop, and Logical Contradiction.

Implementation detail
Any answer scoring below 0.19 forces next_search_query=null, preventing the agentic loop from poisoning the memory.
Score Rubricvalidator.score()
Initial1.00
Hallucination
0.30
Factual Drift
0.25
Missed Multi-Hop
0.20
Logical Contradiction
0.20
Final0.05
BLOCKED · next_search_query = null