Adjoint - Infrastructure for the AI Era

What We Do

Research-led consulting and open source infrastructure

Consulting

Expert implementation

We help you build production-grade agent systems. Deep expertise from systematic research, not just tutorials.

RAG Architecture
Agent Workflows
LLM Observability
Multi-agent Coordination
Prompt Engineering

Platform

Open source AgentOps

Production infrastructure for AI agents. Event-driven, observable, framework-agnostic. You own your stack.

Kafka Event Backbone
LGTM Observability Stack
66+ Curated Skills
Temporal Workflows
MCP Protocol Support

Retainers

Managed observability

We run your agent observability infrastructure. Focus on building agents, we handle the platform.

Hosted LGTM Stack
Agent Tracing
Cost Monitoring
Incident Response
Platform Updates

The Portable Agentic Layer

Every SaaS is adding AI features. But they're locked in, context-blind, and opaque. We provide the layer they can't: your context, your observability, your crystallization path.

┌─────────────────────────────────────────────────────────────────────┐ │ YOUR SAAS ECOSYSTEM │ │ Linear │ Jira │ GitHub │ Gmail │ etc. │ └──────────────┴────────────┴──────────────┴─────────────┴────────────┘ │ Webhooks / APIs ▼ ┌─────────────────────────────────────────────────────────────────────┐ │ ADJOINT AGENTIC LAYER │ │ │ │ ┌────────────────┐ ┌────────────────┐ ┌─────────────────────┐ │ │ │ Context │ │ Knowledge │ │ Session Bridge │ │ │ │ Enrichment │ │ Linking │ │ Claude → Issues │ │ │ │ Your runbooks, │ │ Past sessions, │ │ Deferred tasks, │ │ │ │ ADRs, configs │ │ related work │ │ context handoff │ │ │ └────────────────┘ └────────────────┘ └─────────────────────┘ │ │ │ │ ┌──────────────────────────────────────────────────────────────┐ │ │ │ 66+ LLM-NATIVE SKILLS LIBRARY │ │ │ │ Token-efficient │ Context-aware │ Composable │ Observable │ │ │ └──────────────────────────────────────────────────────────────┘ │ │ │ │ ┌──────────────────────────────────────────────────────────────┐ │ │ │ OBSERVABILITY (LGTM Stack) │ │ │ │ Loki (logs) │ Grafana │ Tempo (traces) │ Prometheus │ │ │ └──────────────────────────────────────────────────────────────┘ │ └─────────────────────────────────────────────────────────────────────┘

Cross-System Context

Your agents see across Linear, Jira, GitHub, email. Vendor AI only sees within their walls.

Private Knowledge

Link to your runbooks, ADRs, past sessions. Context that vendor AI will never have.

Full Observability

Every agent action traced, logged, metriced. Not a vendor black box.

Crystallization Path

Soft LLM workflows harden into deterministic code as patterns emerge. You own the result.

	Vendor AI Features	Adjoint Layer
Scope	Works within one SaaS	Works across all your systems
Context	Only their data	Your knowledge base, sessions, credentials
Observability	Black box	Full tracing through LGTM stack
Customization	Fixed features	Your agents, your rules
Ownership	Pay per seat forever	Crystallize patterns into owned code
Tooling	Generic AI	66+ skills optimized for LLM use

Infrastructure for the AI Era