Stop re-training humans who leave. Encode your expertise into agents that work 24/7, get smarter with every task, and never forget what you taught them.
DeepBench lets you build a bench of specialized AI agents, assign them real work tasks, and manage output through a single dashboard. The long game: train an agent on your own knowledge — so your expertise generates deliverables, briefings, and research even when you're not in the room.
Every enterprise AI deployment shares the same invisible failure mode: the model forgets. AI Amnesia — the inability to carry institutional knowledge, reasoning history, and domain context forward — means organizations re-inject identical context on every call while compounding value is left untouched.
Every consultant, business owner, and enterprise team faces the same ceiling beneath that. Capacity is capped by the number of skilled humans on the team. Those humans leave — taking years of knowledge with them. The result: hire, train, lose, repeat. The expertise never compounds.
Build once. Assign forever. Every task makes your agents better.
Choose a domain — analysis, research, writing, compliance. Name your agent, define their specialty, set their skill level. In minutes you have a permanent member of your bench with a full personnel file.
Upload documents, training materials, and past work. Your agents build a RAG knowledge base from everything you teach them — grounding every future response in your methodology, not generic AI defaults. Depth is measurable: agents move from General → Trained → Expert → Proprietary as you invest in their knowledge base. Deeper capability means higher-quality output — and a compounding asset you own.
Describe the task. Your planning agent generates a step-by-step execution plan, assigns the right agents to each step, and flags where human judgment is required. Approve the plan, and let them work.
DeepBench meets you where your capacity actually breaks down.
Build an AI bench that handles the analytical heavy lifting for every engagement. Upload client data, assign the analysis to your agents, and arrive to kickoffs with findings already in hand. More engagements. Same you.
Scale Without HiringEncode your standard operating procedures, best practices, and institutional knowledge into agents that never forget and never quit. Every new team member inherits the full depth of your organization's expertise on day one.
Encode Your ExpertiseDeploy a bench of specialist agents trained on your methodology, standards, and knowledge base. Give every member — or every client — access to the same quality of expert guidance you currently reserve for your largest accounts.
Methodology at ScaleThe City of Austin's full fiscal year procurement dataset — loaded, classified, flagged, and briefed by DeepBench's NIGP Consultant agent (Robyn Castellanos) in under a minute. What used to take a consultant half a day of Excel work is now a live task result you can share via URL.
View Live Demo Task ↗DeepBench grew out of the NIGP Spend Analyzer — a production tool built for government chief procurement officers and consultants that classifies transactions against the NIGP taxonomy, surfaces compliance risks, and generates AI executive briefings in under a minute.
That tool is still live. It analyzed $372M in City of Austin procurement spend as a single DeepBench task. It's not a demo — it's the proof that domain-specific AI agents, grounded in real methodology, produce results that generic AI tools can't.
DeepBench is the platform generalization of that concept. The NIGP Analyzer became the first agent on the bench. The architecture that made it work — deterministic logic as the analytical foundation, LLMs as the intelligence layer on top — became the design identity for everything that followed.
Purpose-built for knowledge work. Every capability in service of getting real analysis done faster.
Train agents on your documents, methodology, and past work. Every agent response is grounded in what you've taught them — not generic AI defaults. Knowledge compounds with every training session.
Trainable AgentsDescribe work in plain language. Your planning agent generates a step-by-step execution plan, assigns the right specialist agents, and flags human-in-the-loop gates automatically. You approve; they execute.
AI Task PlanningBrent Matthews is a Playwright-powered web agent who navigates real government portals, fetches live procurement data, and builds memory from every successful run. Self-improving with every task.
ReAct + MemoryThe full NIGP classification engine lives inside DeepBench as a first-class task type. Upload any government procurement CSV — classification, health flags, vendor HHI, and AI executive briefing in under a minute.
NIGP NativeChat directly with any agent on your bench. Intelligent routing suggests the right agent for your question. Every response shows its knowledge provenance — Trained, Informed, or General. Save any answer as a task assignment.
Consultative AIEvery AI-touched element is labeled with a ✦ AI badge. A live activity panel shows cost, latency, and call type for every AI operation. You always know exactly where AI is being used and what it's doing.
AI Audit LayerThe AI industry is full of demos that don't survive contact with reality. Here's what's actually running in production today — and what's designed but not yet shipped.
Every DeepBench account starts with a pre-built bench of specialist agents. Trainable, extensible, and ready to be assigned real work the moment you log in.
RAG + deep reasoning. The specialist for government procurement spend analysis and NIGP taxonomy work. Trained on procurement methodology.
Playwright-powered ReAct loop with persistent memory. Navigates government portals, fetches live data, and self-improves from every run.
Generates step-by-step execution plans, assigns the right agents, and flags human-in-the-loop gates. The conductor of every multi-step task.
RAG-augmented professional-grade analysis. Deep knowledge base queries, structured output, and briefing-quality deliverables.
Deep LLM reasoning for complex analytical tasks. Executive-quality structured output. The go-to for nuanced interpretation and strategy drafts.
Formatting and presentation specialist. Transforms raw analysis into polished client-facing deliverables. Pitch decks, one-pagers, executive summaries.
Fast, lightweight classification and routing tasks. Perfect for first-pass triage, categorization, and routing decisions before senior agents take over.
Build a specialist agent trained on your domain, your methodology, your knowledge base. Your bench, your rules.
Try it LiveDeepBench doesn't hide where AI is being used. Every output generated by an AI agent carries a ✦ AI badge. A live activity panel shows exactly which model ran, what it cost, and how long it took — for every operation in the session.
Human-in-the-loop gates are flagged automatically in every task plan. When a step requires your judgment before proceeding, it stops. No AI agent makes a consequential decision without the opportunity for human review.
Deterministic algorithms — procurement health flags, HHI scoring — carry no AI badge. You always know the difference between a rule-based calculation and a model-generated insight.
Every expert has a body of knowledge that took years to build. Methodologies, judgment calls, pattern recognition, institutional memory. Right now, that expertise exists only in one place: inside one person's head.
DeepBench's training layer is designed for this. Upload your documents, your frameworks, your past work. Teach your agents how you think. Over time, you build an AI that doesn't just do tasks — it does tasks the way you would do them.
Every line of code in DeepBench was written through AI-assisted development. Every architecture decision, design principle, product priority, and session rule was mine.
DeepBench is the artifact that proves what a product leader can build when they combine deep domain knowledge, strong architectural thinking, and the discipline to apply both consistently across 50+ documented build sessions.
I've spent my career at the intersection of enterprise technology, business strategy, and applied AI — with deep roots in government procurement intelligence. NIGP standards, vendor concentration risk, spend analysis, and compliance flags aren't features I designed abstractly — they're problems I've worked from the inside.
Build your first agent in minutes, or try a live demo task loaded with real government procurement data.