An AI workforce built for your enterprise
The best way to make your firm AI-native.
Enterprise AI needs institutional context
AI doesn’t fall short because it’s not smart enough, it fails because it doesn’t understand how your organization works. Models don’t know your systems, your knowledge, or what “done right” looks like in your production settings
Context Engine
Context automatically ingests your codebases, data rooms, and documentation, and connects to your enterprise data sources, learning how your business actually operates, no manual setup or retraining required.
Tribal knowledge
Most of what makes your organization work isn’t written down. Context learns unwritten rules, judgment calls, and processes your experts rely on, turning institutional memory into production-grade operational intelligence.
Workflows capable of real tasks
Traditional automation tools can’t handle the kind of complex, multi-step, abstract work that your experts do every day. Context captures complex logic in natural language, executes in your stack, and delivers measurable results.
Define in text
Define data, logic, and deliverables in text, and Context turns them into live, versioned workflows that run in your systems.
Real Production Work
These aren’t demo workflows. They run in production, execute judgment-heavy steps, and deliver with the rigor of your experts.
Built to work in your organization
Unlike static tools, Context evolves with every expert interaction, building capabilities unique to your organization
Understands your language
Context learns your teams acronyms, terminology, and domain nuance, so it can reason the way your organization does, not like a generic model.
Your work, your brand
Every outcome reflects your company’s standards, the right format, sources, and visual identity. Context produces work that looks, reads, and performs like it came from your own team.
Learns from your experts
Context evolves with every expert interaction, building capabilities unique to your organization. Over time, it captures institutional judgment, aligning model behavior with how your teams actually reason, decide, and deliver.
Models don’t know your organization
Foundation models don’t understand your systems, data, or what quality means in context. Context learns directly from your experts, how they reason, decide, and work, closing the gap between generic AI and real organizational intelligence.
Converts expertise to intelligence
Every time an expert reviews, corrects, or refines an output, Context gets smarter. It captures the tacit knowledge that makes your team effective, judgment calls, workflows, and domain nuances, and turns it into embedded intelligence.
Monitor evals that work for your enterprise
Move beyond traditional academic benchmarks, and monitor how AI performs in areas your organization cares about
Custom Performance Rubrics
Academic benchmarks for generalist performance rarely translate to utility in your company. Context lets you define & monitor metrics that your company cares about.
24/7/365 Evaluation & Improvement
Monitor custom evals with fine grained insights. Context allows you to review, provide feedback, and consistently improve areas of weakness for the model.
Days to deployment, not months
Getting AI to work in your organization shouldn’t take months or disrupt your timelines. Our Forward Deployed Engineering team handles everything, from integration to optimization, so you see real results within 10 days. Context is your AI team.
Lightning Fast
Accelerated
Custom Built
Our engineers adapt Context to your environment end-to-end, from bespoke connectors and API integrations to security review, ensuring a seamless fit across systems.
Enterprise Grade Security
Context is built for enterprise and government with frequent audits, tests, and secure data practices