Describe the goal.
GraphX discovers existing capabilities and provisions what's missing.

GraphX understands your intent. Describe your goal in plain language, and GraphX discovers existing agents, enterprise software assets, APIs, and Internet resources to assemble the solution automatically.

If the right tool doesn't exist, GraphX builds it.

No more time lost discovering tools, writing code, reading docs, and manually wiring integrations; GraphX does it automatically from intent.

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The Problems

Why technologists struggle to operationalize intelligence at scale

30–40%

of engineering effort going into cross-system coordination and architecture alignment as modern SaaS stacks require managing multiple services, APIs, and data flows.

3–8x

longer to operationalize due to integration, schema mapping, data transformation, environment setup, and dependency wiring.

25–35%

of engineering capacity is diverted to infrastructure and integration plumbing instead of core domain logic development.

80%

of AI projects fail to reach production, twice the failure rate of traditional IT projects. Most stall at the pilot-to-production gap.

How GraphX Works

Engineering efficiency that compounds.

1. Describe your intent

Tell GraphX your intent in plain language. GraphX understands context, derives constraints, and confirms success metrics.

2. GraphX understands your enterprise

GraphX queries the knowledge graph of your organization’s software assets, data models, workflows, and integrations. It understands what exists, where it lives, and how systems connect.

3. Discovers and provisions tools

GraphX discovers existing capabilities that solve the problem. If gaps exist, it provisions new MCP servers, APIs, workflows, and integrations—then registers them for future reuse.

4. Deploys intelligent agents

GraphX assembles and deploys an agent that orchestrates tools, reasons across systems, and adapts based on outcomes. Full audit trail on every decision.

Track record, not possibility

Business Scenarios

Verified outcomes

80% reduction in development time vs. manual integration. 13 QMS-compliant lifesciences logbooks deployed in 1 month. Smart city car-sharing platform in 4 months.

Technical foundation

Metadata-driven application generation. Big data pipeline. Enterprise knowledge graph orchestration. Edge-to-cloud deployment. Multi-agent interoperability through MCP and A2A protocols. Agent profiles with inheritance. Context engineering. Semantic RAG. Queryable graph.

Compliance and sovereignty

21 CFR Part 11 equivalent audit logs. GDPR-ready. Full audit trails. On-premise and air-gapped deployment support. Zero data retention by default.

Integration

MCP servers, A2A protocol, REST APIs, ERP/PLM, MQTT, OPC-UA, MODBUS, PROFINET, Catena-X, ETL pipelines, browser extensions, voice-based workflows.

The transformation

Before and After.

Before GraphX

Teams rebuild capabilities that already exist elsewhere. Manual database management. Schema migration. API provisioning. MCP server wiring. Months of infrastructure before domain logic.

After GraphX

Describe intent in plain language. GraphX discovers existing systems, tools, workflows, APIs, and agents. It reuses what exists, provisions what's missing, and deploys orchestration automatically. Full visibility for technologists to verify every decision.

Every deployment strengthens the knowledge graph. Every solution becomes reusable.

Ready to transform how intelligence scales? Let's build.

No commitment. Just a conversation about how to move from isolated pilots to enterprise-wide intelligence.