Three platforms that eliminate bespoke plumbing.
Engineered to turn unpredictable foundation models into governed, observable, and enterprise-grade automation pipelines.
BOT iQ — Governed multi-agent core with Model Context Protocol (MCP) and deterministic validation layers.
BOT iQ is our flagship orchestration engine designed to deploy, govern, and observe multi-agent swarms in high-stakes enterprise workflows. It bridges modern foundational models with legacy ERP databases via verifiable safety contracts.
Architectural Capabilities
Auto-discovers enterprise OpenAPI endpoints, SQL databases, and internal microservices at runtime.
Pre-execution and post-execution validators preventing prompt injection, hallucinated numbers, and invalid database mutations.
Episodic and long-term vector memory enabling multi-turn enterprise workflows that span days or weeks.
Configurable confidence scoring that automatically routes ambiguous cases to domain specialists with zero friction.
Developer Integration Spec
from botiq.core import AgentSwarm, PolicyGuard, MCPConnector
# Initialize Governed Multi-Agent Pipeline
swarm = AgentSwarm(
name="SAP-Invoice-Reconciliation",
guard=PolicyGuard.strict(max_variance=0.01, require_audit_log=True),
tools=[MCPConnector.from_sap_erp(creds="env:SAP_PROD")]
)
@swarm.on_event("inbound_invoice_pdf")
async def process_invoice(ctx, document):
extracted = await ctx.agent("NeuralOCR").extract_tables(document)
po_match = await ctx.agent("Reasoning").three_way_match(extracted)
if po_match.confidence >= 0.98:
result = await ctx.agent("ERPExec").post_journal_entry(po_match.data)
return {"status": "AUTO_CLEARED", "tx_id": result.id}
else:
return await ctx.escalate_to_human(po_match)