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Better Architecture. Better Models. Lower Cost.

Open-source LLMs, structured delegation pipelines, and YAML-defined workflows — built for real operations.

What we build

Simple, useful AI systems. Not a giant transformation plan. Start with one painful workflow and make it better.

Internal AI assistants

Help your team answer questions, draft documents, research, summarize, and make decisions using your actual business context.

Workflow automation

Connect AI to email, CRM, spreadsheets, calendars, databases, and APIs so repetitive work happens faster with fewer handoffs.

Customer-facing agents

Website, SMS, email, or chat agents that answer questions, qualify leads, route requests, and escalate when a human is needed.

How it works

Start small. Ship fast.

The goal is not to overwhelm your company with AI. The goal is to find one place where AI can save time, reduce errors, or create a better customer experience.

1

Tell us the workflow that wastes time or causes mistakes.

2

We build a focused working version with the tools you already use.

3

Your team tests it in real work, then we improve from there.

Not sure if AI fits your workflow?

Send one process that's repetitive, error-prone, or expensive to run. We'll tell you honestly whether AI belongs there — and what a working version would look like if it does.

Architecture

Architecture, not wrappers.

Open-source models are only the starting point. The advantage comes from routing, delegation, defined workflows, integrations, and auditable output — built as one system.

1

Best-Fit Models

Choose the right tool for each job

Every task uses the model best suited to it — optimized for accuracy, speed, and cost. No single-vendor lock-in, no paying for capability you don’ need.

input
2

Model Router

Task-aware orchestration

Intelligent routing directs queries to the most capable model based on complexity, latency, and cost requirements.

route
3

Structured Delegation

Specialist agents by role

Complex tasks decomposed into subtasks handled by specialized sub-agents with focused capabilities.

delegate
4

YAML Workflows

Inspectable pipeline specs

Every pipeline defined in plain YAML — review, version, and iterate on workflow logic without touching code.

spec
5

Tool Integrations

APIs, databases, docs, CRMs

Native connectors to the tools your team already uses — no rip-and-replace required.

connect
6

Auditable Output

Logs, reviews, ownership

Every decision and output is logged, traceable, and reviewable — built for compliance and continuous improvement.

verify

Case Study

Proof, not promise.

BearingBrain is a working AI assistant for bearing engineering. It cross-references 31,000+ parts across 8 manufacturers, supports fitment and L10 life checks, and helps with quoting, sourcing, and failure-diagnosis workflows. The important part is the architecture: deterministic logic where accuracy matters, LLM reasoning where context matters, and structured workflows holding the system together.

One focused problem. One working system. Shipped fast.

Live product
BearingBrain parts intelligence interface showing catalog search and cross-reference tools
31,669 parts25,718 cross-references8 manufacturers
Catalog search → Cross-reference → Fitment/L10 checks → Quote workflow