Context64.ai
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Platform overview

One context layer, many engineering surfaces.

C64.ai connects engineering sources, builds a governed context graph, turns it into scoped memory for agent systems, and ships the result through applications and workflows.

Talk to us See the stack
Engineering Sources
1Intake Layer
2Data Context Hub
3Memory 4 Your AI
4M4AI Harness
5Studio & Surfaces
CONTEXT64 · PLATFORM
ENGINEERING SOURCES

Where work happens

Connect the systems where engineering work already happens.

PLM
ALM
ERP
CAD · CAE
REQUIREMENTS
TEST · QA
DOCUMENTS
TICKETS
GITHUB
GITLAB
SHAREPOINT
JIRA
SAP
TEAMCENTER
ANSYS
POLARION
INTAKE LAYER

Bring source data into governed workflows without changing systems of record.

CONNECTNORMALIZEVERSIONGOVERNED SYNC
DCHCORE ENGINE

Data Context Hub

GOVERNED CONTEXT GRAPH

Build the governed engineering knowledge graph: entities, relationships, versions, permissions, and evidence.

ACTIVE TRACEbattery-module-v3 · governed
version ofbelongs toaffectsverifieshas evidenceVERSIONFUNCTIONRELEASEREQUIREMENTCOMPONENTFAILURE MODETESTEVIDENCETRACE · REQUIREMENT → COMPONENT → FAILURE MODE → TEST → EVIDENCE
CONTEXT RETRIEVED12 linked · 24 evidenced · v3 → v4 · role-scoped
ENTITIESRELATIONSHIPSLINEAGEEVIDENCEPERMISSIONS
Explore DCH →
M4AICORE ENGINE

Memory 4 Your AI

SCOPED MEMORY FOR AGENTS

Turn graph context into scoped memory for agents, reasoning, and multi-agent workflows.

SCOPED MEMORYbattery-module-v3 · scope
BATTERY MODULE V3SUPPLIER CHANGETHERMAL RUNAWAYREQUIREMENT SET
Change Analystreasoning
Requirement Agentretrieving
Test Agentevidence check
Approval Agentawaiting gate
DECISION-READY
12 requirements linked24 tests evidenced2 open gates
GRAPH MEMORYMULTI-AGENTANY LLMEMBEDDABLE
Explore M4AI →
APPLICATION SURFACES

Context, delivered

Expose context-aware capabilities through apps, dashboards, MCP, REST APIs, embedded tools, and C64 Studio.

Engineering Search
Change Impact
Requirements Coverage
FMEA KI Apps
Root Cause Reasoning
Variant Intelligence
Custom Apps
MCPREST APIEMBEDDED TOOLS
FMEA KI APPS · OUTPUT
failure mode → cause → evidence
TRACEABLE ANSWER
C64 STUDIOWORKBENCH

Build and publish the apps, workflows, and surfaces teams use in daily engineering work.

DATA-FORGEKNOWLEDGE-FORGETOOL-FORGEAGENT-FORGEAPP-FORGE
Change Impact Explorerpublished
FMEA KI Appgenerated
Requirements Coverageversioned
Explore Studio →
The stack

From engineering data to governed context, agent memory, and shipped surfaces.

01

Intake Layer

Connects engineering systems and repositories — PLM, ALM, ERP, CAD/CAE, requirements, tests, tickets, and documents — with governed, read-only ingestion.

40+ source patternsRead-only
Explore Intake Layer
Intake Layer · Source coverage
Intake Layer source coverage — connector tiles for PLM, PDM, CAD/CAE, requirements, ALM, FMEA, test systems, ERP, Jira, SharePoint, GitHub, data platforms, and custom sources
02

Data Context Hub

DCH
Core · context engine

Builds the governed engineering knowledge graph: entities, relationships, versions, lineage, permissions, and evidence — modeled from your ontology and kept in continuous sync with the sources.

Ontology modelingLineage & evidenceGovernance
Explore Data Context Hub
Data Context Hub · Context layer
Data Context Hub context layer — engineering sources feeding the intake, ontology modeling, graph build, governance, and retrieval pipeline into a governed knowledge graph with a source-linked query result
03

Memory 4 Your AI

M4AI
Core · agent memory

Uses the Data Context Hub graph as scoped memory for agent systems. Build agent teams on a no-code canvas — no stale snapshots, no fragile RAG pipelines, evidence-backed reasoning with any LLM.

Graph as memoryScoped memoriesAny LLM
Explore Memory 4 Your AI
Memory 4 Your AI · Agent builder
Memory 4 Your AI builder — complex agent system on the no-code canvas with six agents, four graph memories, versioned system config, and per-agent instruction and provider settings
04

M4AI Harness

Multi-agent orchestration

Decomposes tasks, scopes the graph, runs specialized agents in parallel, and aggregates evidence-backed results.

Task
Graph Scope
Agent Mesh
Execution
Evidence Output
See the harness inside M4AI
05

C64 Studio

Builds and publishes application surfaces, workflows, dashboards, and embedded tools — every output versioned, governed, and context-linked.

UI BuilderMCP & REST
Explore Studio
C64 Studio · Workbench
C64 Studio workbench — Forge modules sidebar, ontology canvas grounded on the DCH context graph, generated change-impact tool, and a published Change Impact Explorer application surface
How it works

Five steps from fragmented systems to governed context.

  1. 01

    Connect engineering sources

    PLM, ALM, ERP, CAD/CAE, requirements, tests, tickets, and documents.

  2. 02

    Model the ontology

    Domain experts define entities, relationships, versions, permissions, and evidence.

  3. 03

    Build the knowledge graph

    Data Context Hub creates a governed, versioned engineering knowledge graph.

  4. 04

    Scope memory for agents

    Memory 4 Your AI turns graph regions into scoped, auditable agent memory.

  5. 05

    Ship application surfaces

    C64 Studio and integrations expose search, analysis, and custom workflows.

Application surfaces

What teams run on the context layer.

Engineering Search

Source-linked

Natural-language retrieval across every connected system.

Change Impact

Version-aware

See what a change touches before you commit it.

Requirements Coverage

Evidence-linked

Live trace matrices from requirement to spec to test.

Root Cause Reasoning

Graph-backed

Evidence paths through the graph, ranked by confidence.

Living FMEA

Audit-ready

Failure modes linked to real tests and mitigations.

Variant Intelligence

Graph-backed

Configurations and dependencies across versions.

Build the context layer for your engineering AI.

Tell us what you're trying to connect, reason over, or build — we'll map the right starting point.

Talk to us Explore success stories