We build AI systems that you can trust in production.
Two ways to work with us — we build your production AI system end to end, or we give you the senior team to build it. Either way, you get systems engineered to survive diligence, not slide-deck demos.
Founding team
Combined experience
Engineering leadership
Focus
Two ways to work with us.
Most engagements start one of two ways: we take ownership of the project, or we put senior AI engineers on yours. The same delivery standards apply to both.
Build it with us
An outcome-owned engagement: we design, build, and govern the AI system end to end — agentic workflows, enterprise RAG, and evaluation harnesses — and hand you something production-ready.
- We design, build, and run it end to end
- Evaluation, guardrails, and monitoring built in
- Production-ready systems, not a demo
Build your team with us
Senior AI engineers when you need capacity: embedded in your team under your direction, or a Broadvale-led managed pod that owns a workstream — whichever fits how you work.
- Embedded engineers or a managed delivery pod
- Senior AI, data, and platform talent, spun up fast
- Flexible for enterprises and IT services partners
What we can build for you.
Bring your software or AI project — here is the kind of work we take on, with examples of what teams actually ask us for.
AI Strategy & Advisory
Figure out where AI is actually worth using, what to build first, and how — before committing a quarter to the wrong bet.
Teams ask us for
- We're not sure where AI fits — help us find the high-value use cases.
- Sanity-check our AI roadmap and build-vs-buy calls.
- Get our engineers up to speed building with LLMs.
Knowledge & Conversational AI
Assistants and search that answer accurately from your own documents — with citations, permissions, and no made-up answers.
Teams ask us for
- A support assistant that answers from our help docs, with sources.
- Let staff ask questions across our policies, wikis, and contracts.
- Search that actually understands our internal knowledge.
Agentic Automation
AI agents and copilots that do multi-step work — not just answer questions — with approvals and audit trails where they matter.
Teams ask us for
- Automate our claims / invoice / back-office process end to end.
- A coding copilot for our dev team — code review, test generation, migration planning.
- An agent that drafts and routes customer emails for human review.
AI Product Engineering
Build AI features into your own product — integration, custom models, and the engineering to ship them reliably.
Teams ask us for
- Add an AI feature to our SaaS product.
- Integrate an LLM into our app via API.
- Fine-tune or customize a model on our data.
Data & Predictive ML
Classic machine learning on your data — forecasting, classification, recommendations, and the pipelines behind them.
Teams ask us for
- Forecast demand / churn / risk from our historical data.
- Automatically classify or score records — documents, leads, transactions.
- Build a recommendation or anomaly-detection model.
AgentOps, Evaluation & Governance
Make the AI you've built safe and dependable in production — evaluation, guardrails, monitoring, and audit trails.
Teams ask us for
- It works in demos but we can't trust it in production.
- We need evals and guardrails before we go live.
- Monitor cost, quality, and failures of our AI in production.
Proof in shipped work, not promises.
Reusable accelerators and shipped products that back both ways of working — proof it works before we start on yours.
The questions a technical buyer actually asks.
If your team is evaluating Broadvale, these are the things worth checking first: whether the engineering is real, what the first engagement produces, how risk is controlled, and whether you can defend the decision internally.
Can Broadvale do serious engineering, not just AI demos?
Yes. The founding team brings deep distributed-systems and AI engineering experience, shipped products, architecture artifacts, and an evaluation-first delivery approach — not slideware.
Will you actually build the thing, or just advise?
We build. Tell us the workflow, product, or problem and we deliver working software — with evaluation, guardrails, and monitoring engineered in, not bolted on.
How will risk be controlled?
The operating model emphasizes bounded agent actions, human approval, evaluation harnesses, observability, and deployment checkpoints.
Can this be explained internally?
Yes. Every engagement is backed by forwardable evidence: founding-team credibility, built products, technical artifacts, and accelerator IP your team can share.
Bring a workflow, corpus, or pilot to the next conversation.
Tell us whether you want us to deliver it or staff it. We will map the path, identify risk controls, and define the artifacts your team needs to evaluate the work.
Prefer email? hello@broadvaleai.com