Getusecase
Managed Service Packages

End-to-end data science.
We build it, run it.

Stop trying to hire data engineers. We act as your outsourced data infrastructure — delivering qualified leads directly to your CRM.

Schedule Scoping CallView Use Cases
Analytics Dashboard showing pipeline growth and conversions

Agent Architectures

Interactive Swarms.
Built for Production.

Explore how our multi-agent architectures process complex tasks across B2B data pipelines and consumer applications.

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Autonomous Lead Gen Swarm

Researchers, enrichers, and drafters working in parallel.

A multi-agent LangGraph architecture that autonomously scrapes prospect data, verifies ICP fit via MCP CRM connections, and drafts hyper-personalized outreach without hallucinating.

Managed outputs

  • Verified Lead JSON payloads
  • Automated CRM entry creation
  • Drafted email sequences
  • Human-in-the-loop approval queues

Integrations

Salesforce / HubSpot via MCPLinkedIn Sales NavigatorApollo / ZoomInfo
Lead Qualification Swarm · Live Run
# State Initialization
Trigger: Scan 500+ GTA manufacturing facilities for expansion permits.
>[Supervisor] Routing to Web_Researcher_Agent...>[Web_Researcher] 18 facilities found with active Q3 expansion permits.>[Supervisor] Routing to Data_Enrichment_Agent...>[MCP_Server] Querying Salesforce: 0 existing opportunities found.>AI Engine: Synthesizing final ICP scores...
# Final Payload Synthesized
1.Priority 1: 'ABC Logistics Hub' — 65k sq ft expansion.
2.Identified 3 key decision-makers via LinkedIn APIs.
3.Drafted sequence emphasizing safety compliance for new expansions.
4.Status: Paused for Human-in-the-Loop approval.

Core capabilities

AI Infrastructure,
not API wrappers.

Multi-Agent Orchestration

We design stateful, cyclic agent architectures where specialized AI agents collaborate, debate, and verify outputs. Move beyond single-prompt chatbots.

LangGraphState MachinesHITL Automation

MCP Context Servers

Stop building fragile API integrations. We deploy robust MCP servers that give your AI standardized, highly-secure access to internal tools.

Secure Data AccessJSON-RPCAudit Logging

Graph-Backed RAG

Standard vector search fails on complex queries. We build retrieval systems utilizing Neo4j, allowing your AI to autonomously navigate semantic relationships.

Neo4jSemantic BridgesCypher Generation

Custom LLM Fine-Tuning

When off-the-shelf reasoning isn't enough, we fine-tune open-weight models or optimize prompt architectures to speak your exact corporate or educational language.

Model DistillationPrompt EngineeringEvaluation

Engineering methodology

How we deploy autonomous systems.

Phase 1

Workflow Mapping & Schema Design

We map your business or educational objectives into a finite state machine. We define the exact schema that will pass between agents to guarantee deterministic outputs.

Phase 2

MCP Integration & Graph Construction

We build the secure MCP servers connecting the AI to your CRM, LMS, or ERP. For complex domains, we construct the Neo4j knowledge graph.

Phase 3

Agent Deployment & Prompt Engineering

We configure the LangGraph supervisor and worker agents, writing strict system prompts for AI Engine to ensure roles are maintained without hallucination.

Phase 4

Stack Integration & Verification Loops

We implement Human-in-the-Loop checkpoints and wire the final agent outputs directly into your front-end applications or operational dashboards.