Bring your software or AI project — we build it.
Six areas we work across. Each one comes with examples of what teams actually ask us for, so you can tell where you fit.
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.
Best fit: Leaders who know AI matters but want a clear, prioritized starting point before spending budget.
View detailsKnowledge & 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.
Best fit: Teams sitting on private docs — support, policy, engineering, operations — that people can't get answers out of.
View detailsAgentic 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.
Best fit: Teams with repetitive, multi-step workflows that need judgment but eat too much human time.
View detailsAI 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.
Best fit: Product and engineering teams adding AI to software they ship to their own users.
View detailsData & 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.
Best fit: Teams with structured data who need predictions or scoring, not a chatbot.
View detailsAgentOps, 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.
Best fit: Teams moving an AI pilot into production who need quality gates, observability, and approvals.
View detailsNot sure which fits?
Tell us what you're trying to do — the workflow, product, or problem. We'll point you to the right starting place and how we'd build it.
Prefer email? hello@broadvaleai.com