AI agentsthat do real work.
We run our own company on them. Now we build them for yours, deployed where your data already lives.
Live from byteandrise.com
This site is run by a harness of AI agents.
A CEO agent plans, nine specialists execute, an Editor gates every draft, and one human approves what matters. The same architecture we deploy for clients.
See how it works →The reality
If your AI pilots feel stuck, that is normal.
Most teams already use AI. Few have it running a real workflow they trust. The gap is rarely the model.
- 01
Pilots that never leave the demo
It worked on ten examples. Nobody knows how it behaves on the thousandth, so it never reaches the real workflow.
- 02
No check before output ships
A wrong answer looks exactly like a right one. Without a quality gate, mistakes reach customers and trust goes with them.
- 03
Costs nobody can predict
Model bills, retries and review time grow with volume, and no one set a budget per run before starting.
- 04
Nobody owns it after launch
Models change, prompts drift and the person who built it moved on. The system slowly gets worse.
What we build
Agents and AI workflows inside the systems you already run.
Agent systems
Agents that take a job end to end
Tool use, memory, quality gates and a clean hand-off to a person.
Explore →LLM integration
LLM features in your product
Search, document understanding, extraction, inside your apps.
Explore →AI workflows
Automation across your tools
Agents take the routine steps; people approve the rest.
Explore →AI products
New products, shipped
Design to App Store. TradeMindAI is ours, live on iOS.
See TradeMindAI →The Harness Method
Five steps. One gate. Nothing ships unchecked.
The same method behind every system we build, and behind this company.
- SScopePick the one workflow worth automating and agree how success is measured.
- BBuildAgents with allowlisted tools, memory and a budget, on your systems.
- GGateChecks and evaluations decide what passes; a person approves what matters.
- RRunDeployed where your data lives, every call logged and costed.
- IImproveEvaluation runs, model updates and cost control, reported monthly.
Choose your starting point
Start small. Earn the next step.
Every engagement starts with one workflow and a cost model you can take anywhere.
AI Scoping Sprint
Interviews, a data and integration audit, a ranked use-case list and a build plan with running costs.
Book a scoping call →Prove itPilot Build
One workflow on your real systems, with an evaluation set and success criteria agreed up front.
Talk about a pilot →Ship itProduction Build
Integrations, evaluation, monitoring, security review steps and handover, in your cloud.
Plan a build →Keep it workingRun & Improve
Monitoring, evaluation runs, model updates, cost control and a monthly report.
Ask about support →Why us
Why teams choose a harness, not a demo.
01
Nothing ships unchecked
Every agent gets a quality gate: rules and evaluations decide what passes, and a person approves what matters. It is how our own company runs.
02
You know the cost before you start
A budget per run, a cost model in the plan and every model call logged. No open-ended bills.
03
Your cloud, your data
We deploy on Microsoft Foundry, Google Cloud, AWS Bedrock or Claude Platform, where your data and sign-in already live. Nothing is locked to us.
Selected work
Shipped, measured and in use.
Our product · live demo
UW Assistant
Twelve agents turn messy financial files into an underwriting report where every number cites its source cell. 0 silent errors across 77 evaluation runs.
Diagnostics
Free tools. See where you stand in five minutes.
They run in your browser. Nothing you type is sent or stored.
AI Readiness Score
Ten questions; a score, your two weakest areas and a first step.
Open the tool →Agent Harness Check
Is your agent production-ready? Gates, logs, budget and review.
Open the tool →AI ROI Calculator
Hours saved, net monthly saving and payback for one process.
Open the tool →Agent Platform Picker
Foundry, Google, Bedrock or Claude Platform: which fits your stack.
Open the tool →AI Agent Cost Calculator
Monthly model cost for an agent before you build it.
Open the tool →Agent or Workflow?
Does this process need an agent, a workflow, or a fix first?
Open the tool →FAQ
Questions we hear first.
What does ByteandRise do?
We design, build and run AI agent systems and AI workflows for companies in the US and EU, inside the systems they already use. Every system ships with a quality gate, a cost budget and a person approving what matters.
How do we start?
With an AI Scoping Sprint: we pick the one workflow worth automating, audit the data and integrations, and leave you with a build plan and a cost model you can take anywhere.
Where does it run, and who sees our data?
In your cloud: Microsoft Foundry, Google Cloud, AWS Bedrock or Claude Platform, chosen by where your data and sign-in already live. We work under NDA.
Do you offer AI training?
No. We build and run working systems. Your team learns by owning one, with documentation and a handover at the end.
Book an AI scoping call