AI Context
Management
Your AI is only as good as what it remembers. We design, build, and implement context management systems that give your AI persistent memory across every conversation, tool, and workflow.
The Problem with AI Today
Every conversation starts from zero. Your AI has no memory, no context, and no understanding of your business.
Amnesia Problem
Every chat resets. Your AI forgets past conversations, decisions, and preferences. Teams repeat themselves endlessly.
Fragmented Tools
Context is scattered across ChatGPT, Claude, Docs, Slack, and email. Nothing is connected. Nothing is searchable.
No Scale Strategy
Copy-pasting prompts doesn't scale. As AI usage grows, operating without a context architecture becomes a bottleneck.
The Context Management Stack
One unified layer that connects your AI providers to your business systems — with persistent memory, structured retrieval, and a full audit trail.
What We Build For You
A complete context management system tailored to your business, your AI tools, and your workflows.
Context Engine
Persistent storage for AI context — conversations, decisions, artifacts, and annotations. Vector-indexed for semantic retrieval. Structured for precision.
AI Orchestration
Route requests to the right AI model with the right context. Multi-model support: Claude, GPT-4, Gemini, open-source, or custom. The brain that decides and acts.
System Integrations
Connect your CRM, docs, email, project management, and analytics. MCP-compatible tool integration. Your AI works with your tools, not around them.
Event-Driven Architecture
Asynchronous event bus that connects every component. Fire-and-forget messaging with retry, dead-letter queues, and full audit trail. Built to scale.
How We Work
From needs assessment to production deployment — a clear, structured process.
Needs Assessment
We audit your current AI usage, tools, workflows, and pain points. We map where context is lost, duplicated, or missing entirely. Deliverable: a comprehensive AI Context Readiness Report.
Architecture Design
We design your context management stack — storage schema, retrieval strategy, embedding pipeline, integration points, and event architecture. Tailored to your specific AI providers and business systems.
Implementation
We build and deploy the context engine, integrations, and orchestration layer. Iterative delivery with working components at every milestone. Full test coverage and documentation.
Training & Handoff
We train your team on managing contexts, adding integrations, and extending the system. Complete documentation, runbooks, and ongoing support options.
Who This Is For
If your team uses AI and wants it to actually remember what matters.
Engineering Teams
Copilot, Claude, and GPT across your codebase — but no shared memory of architecture decisions, conventions, or past bugs. Context management gives every AI session the full picture.
Operations Teams
Support, sales, and ops teams using AI for customer interactions. Context management means your AI knows the customer history, account details, and past resolutions.
Startups & Scale-Ups
Building AI-native products? Context management is infrastructure. Get it right from day one instead of retrofitting later. We help you design the architecture that scales.
We Don't Just Consult.
We
Build.
Our context management implementations are powered by the Blorp Blorp Platform — the same system we use internally to run our own AI-driven operations. This isn't theory. It's battle-tested infrastructure.
- Context Engine — Persistent memory with embedding-based retrieval
- Brain (AI Orchestrator) — Multi-model routing with context injection
- Event Bus — Async architecture that scales to millions of events
- MCP Integration — Connect any AI tool via Model Context Protocol
- Full Audit Trail — Every context read, write, and decision logged
Ready to Give Your AI
a Memory?
Start with a free needs assessment. We'll analyze your current AI usage and show you exactly where context management would have the biggest impact.
No commitment required. We'll respond within 24 hours.