Axon
The LLM routing layer
Access multiple models through one self-hosted routing layer.
- Multi-model access from one API
- Self-hosted deployment
- Provider-agnostic routing
Every AI execution should build on the last.
Crosslinq turns fragmented AI executions into persistent organizational memory — so every workflow, retry, escalation, and resolution improves the next one.
Stateless Execution
Developer A120k tokens
auth fixRBACdebugging
contributes retry strategies
Developer B98k tokens
workflow logicmiddlewarerouting
contributes auth patterns
Developer C105k tokens
internal APIretriesescalation
contributes internal APIs
Persistent Organizational Memory
Every execution contributes upward and inherits downward
Firm-wide Memorygovernance policies
Platform BURouting norms · Auth conventions
Team heuristicsRouting normsAuth conventions
Risk BUEscalation paths · Approval heuristics
Escalation pathsApproval heuristics
Support BURetry intelligence · Workflow traces
Retry intelligenceWorkflow traces
Execution Evolution
Run 1414 retries
120k tokens · manual debugging
Run 184 retries
70k tokens · auth flow stabilized
Run 73reused
near-instant execution
Execution Inheritance
New developerinherited
Task: Build auth flow
JWT retry strategy
Existing RBAC convention
Prior auth middleware
Successful routing path
retrieved from prior organizational execution
Execution
Generates context
Context improves
Execution improves
More execution
Every execution should build on the last.
Our partners
Our products
The Crosslinq stack for enterprise AI
Route models, control spend, and build organizational memory — three layers that work together or stand alone in your environment.
Synapse
Cost and budgeting for AI token optimisation
Enforce budgets and optimise token spend before every execution.
- Per-team and per-agent budgets
- Token usage optimisation
- Real-time spend enforcement
Neocortex
The enterprise AI memory layer
Persistent organizational memory that compounds across every AI execution.
- Execution memory, not chat logs
- Organizational inheritance across teams
- Governable memory graph
Without a shared memory, every execution starts from zero.
Retries, routing logic, escalation paths, and operational heuristics are rediscovered every run instead of inherited.
Execution Replay
live execution stream
+12kSearching auth middleware...
retry #12.3sdepth 3
+8kRetrying JWT validation...
retry #21.8sdepth 4
total tokens184k
Execution Topology
Multi-agent execution with retry loops
normal flow
retry / loop
Known Organizational Intelligence
Organizational Knowledge
JWT retry strategy
Approved auth middleware
Existing RBAC convention
Stable escalation path
Prior successful routing logic
Workflow recovery heuristic
Not accessible during execution
Execution
Retry
Reconstruction
More Tokens
More Latency
No Organizational Learning
Introducing Crosslinq — shared memory infra for enterprise AI.
Enterprise AI cannot rely on session/agent memory. Organizational execution requires typed, scoped, domain-driven, governable, linked memory systems.
Identity + Organizational Scope
Firmpolicy inheritance
Business Unitdomain continuity
Teamexecution norms
Agentscoped memory
Sessionexecution lineage
inheritancelineagecausalitypromotion
Shared Organizational Memory
IdentityWho are we?
organizational contextpolicy boundariesproject contextproduct contextfirm conventions
EpisodicWhat happened?
executionsincidentsretriesdecisions
SemanticWhat is true?
vocabularyoperational definitionsworkflow relationships
ProceduralHow do we operate?
heuristicsrouting patternsescalation pathsapproval conventions
decay • reinforcement • conflict resolution • snapshots • restoration
Execution Intelligence Systems
Context Optimization
retrievalcompressioncontinuity
Routing + Orchestration
retry optimizationroutingworkflow stabilization
Telemetry + Governance
tracesattributionbudgetingcompliance
Governable Organizational Memory
vaults
traceability
causality
budgeting
client = crosslinq(memory=true)Start in Minutes. Not in Weeks.
Crosslinq integrates into existing AI workflows without changing how developers build.
1. Connect existing execution
Use Crosslinq with existing agents, tools, and workflows. No rewrite required.
LangGraphLangChainCursorClaude CodeOpenAICrewAICustom agentsMCP toolsAPIs
2. Add identity + budgets
Every agent and workflow gets persistent execution identity.
IdentityTeamsSessionsBudgetsAttribution
3. Persist shared context
Crosslinq captures execution behavior across runs.
Retry strategiesRouting decisionsSuccessful pathsWorkflow tracesTool usage
4. Shared context compounds
Every execution improves future execution.
Run 1Auth flow unstableretries · debugging
→Run 18Retry patterns reusedtoken usage reduced
→Run 73Routing optimizedworkflow reused
→Run 201Org-wide standardnear-zero retries
Intelligence compounds
One line to integrate
client = OpenAI(
api_key="crosslinq_key",
default_headers={"X-Agent-Id": "code-agent"}
)
response = client.chat.completions.create(
model="auto",
messages=[{"role": "user", "content": "Fix this bug"}]
extra_body={
"budget": {"max_usd": 0.02},
"router": {"strategy": "cost-first"},
"compress": True
})
Existing SDKs continue working natively.
Identity attached to every execution
Budget enforced per run
Router dynamically selects models
Compression reduces token cost
Developer-led
Use Crosslinq SDKs inside existing agents and workflows.
Organization-led
Connect organizational policies, attribution, and governance.
Governance emerges naturally once shared context centralizes execution
Execution memory is not retrieval.
Crosslinq does not store chats or embeddings. It captures execution lineage, operational heuristics, routing decisions, retries, escalations, and organizational outcomes as reusable intelligence.
Traditional AI Memory
Similarity retrieval
Finds related text, not operational truth.
Session-bound memory
Execution state disappears between runs.
Context contamination
Bad runs poison future retrieval.
No organizational inheritance
Teams rediscover the same heuristics repeatedly.
Probabilistic retrieval topology
disconnected · probabilistic · stateless
Crosslinq Organizational Memory
Execution lineage
Every decision linked to prior operational state.
Organizational inheritance
Teams contribute upward and inherit downward.
Persistent operational heuristics
Retries, escalations, routing, and approvals compound.
Governable memory graph
Identity, attribution, budgets, and policies stay attached.
Deterministic inheritance topology
deterministic · governed · persistent
Retrieval finds information.
Organizational memory preserves operational intelligence.