ThreadState sits between your team and every foundation model. One place for shared context, complete audit trails, and zero vendor lock-in — so you can switch models tomorrow without losing a thing.
Every time someone on your team asks Claude, GPT, or Gemini a question using company data, that interaction happens in a silo. No shared memory. No audit trail. No way to know if the same work was already done yesterday by someone else.
The cheaper and faster AI gets, the worse this problem becomes. More models, more tools, more outputs — and every platform wants to lock you into their ecosystem to manage it.
ThreadState is the cross-platform context management and governance layer that no single AI vendor can build — because their business model depends on locking you in.
Your team's knowledge, artifacts, and decisions live in one neutral layer. Any AI model can read from it, write to it, and build on prior work — eliminating duplicate effort and conflicting outputs across tools.
Every interaction between your team's data and any AI model is logged. Who accessed what, when, through which model, and what was generated. One place to answer the compliance question no platform can answer today.
Switch from Claude to GPT to Gemini to open-source models without losing context, history, or governance rules. Your organizational knowledge stays with you, not with your model provider.
ThreadState is an intermediary layer between your existing data stores, your team, and the AI models they use.
Enterprise-grade context infrastructure, designed to be the layer that sits between your team and every AI tool they use.
When someone on your team creates an analysis in Claude, that context is available to the next person using GPT. No more recreating work across platform silos.
Every piece of company data that touches an AI model is logged — who accessed it, when, through which model, and what was generated. Compliance-ready from day one.
Before your team creates something new, ThreadState surfaces existing work. "Sarah already generated a competitive analysis with this data on Tuesday." Eliminate redundant AI spend.
Use your own API keys with any major foundation model, or choose pay-as-you-go. Route different tasks to different models based on cost, quality, and capability.
When an underlying data source changes after it's been referenced in an AI interaction, your team gets notified. No more decisions based on stale context.
Built on the Model Context Protocol — the open standard adopted by Anthropic, OpenAI, Google, and Microsoft. ThreadState integrates where your AI tools already live.
You're deploying multiple AI models across the org and need a governance layer that works across all of them — without locking you into a single vendor.
Your team uses AI daily for content, analysis, and decision-making. You're generating more outputs than you can track, and duplicate work is becoming a real cost.
Finance, healthcare, legal — you need AI capabilities but can't sacrifice auditability. ThreadState gives you the trail that satisfies compliance without slowing teams down.
ThreadState is the neutral infrastructure layer that gives your team shared context, full auditability, and the freedom to use any AI model — today and tomorrow.