We make your data trustworthy, then build the AI and products that run on it.
What we do
Wherever your data or your product is today, there's a path forward. Most clients use more than one.
Get far more from the platform you already pay for. We add pipelines, analytics and AI on top of your existing stack.
End-to-end moves from legacy warehouses and ETL to the modern cloud, checked row by row and cut over without downtime.
New data platforms and AI products designed from first principles, from real-time streaming to autonomous agents.
End-to-end product development, from the first sketch to a launched web, mobile or SaaS product with data and AI built in.
Enterprise AI
Secure AI agents for every team, running in your own cloud on your own data.
The big picture
Everything we build for you on one page, from the data you already have to the results your leadership cares about.
Agents
Pick an industry, then an agent, and see exactly what it reads, what it retrieves and where it works.
Capabilities
Choose a capability to see how it works, step by step, with an example result.
Enterprise ready
Security, identity and monitoring built in from the first day, not added at the end.
Deployed in your own AWS, Azure or Google Cloud account, with data kept in the regions you choose.
Company SSO and role-based access, so AI only sees what each person is allowed to see.
Use the right model for each job, from leading providers or open models, without being locked in.
Quality tests before release, then tracing, cost and usage dashboards once live.
People approve the actions that matter, and every decision is recorded.
Works with SAP, Workday, ServiceNow, Salesforce and your data platform through MCP and APIs.
Enterprise Data
One trusted, governed foundation for reporting, analytics and AI.
The big picture
How we engineer your data platform, from the systems you run today to the dashboards, AI and products that depend on it.
Capabilities
Choose a capability to see how it works, step by step, with an example result.
Platforms
We work across the major clouds, data platforms and tools, and recommend what fits your team, not what we resell.
Modernize
A clear path off old warehouses and fragile pipelines, with parallel runs and reconciliation before anything is switched off.
Built in your own AWS, Azure or Google Cloud account on the platform that fits you.
Delta Lake and Apache Iceberg, so your data is never locked into one vendor.
Right-sized compute, usage monitoring and spend tracked by team.
Company sign-in, role-based access, encryption and masking of sensitive fields.
Every pipeline and model has tests, lineage and plain-language documentation.
Hands-on handover and training so your people can run and extend it.
Most AI projects fail at the data layer. That's exactly where we start. We engineer the foundation first, so everything you build on top of it holds up.
Explore
Jump straight to what matters to you.
Industries
Click any industry card to see example engagements
Fraud detection, risk models and regulatory reporting.
Claims analytics, clinical data and patient insights.
Demand forecasting, pricing and a single view of every customer.
Predictive maintenance, IoT data and supply chain visibility.
Route optimization, fleet telemetry and AI assistants.
Smart meter data, grid forecasting and asset health.
Churn prediction, network analytics and personalization.
Data modernization, open data and citizen services.
If your business runs on data, we can help it run better.
The Fidenhelm method
Short, visible steps. You see working software early, and you always know what comes next.
We map your data, costs and goals, and agree on what success looks like in numbers.
Weeks 1–2A target design and roadmap that your engineers and your CFO can both sign off.
Weeks 2–4Delivery in short, demoable increments, with automated testing at every step.
Weeks 4–16Monitoring, governance and handover, or we stay on and run it with you.
OngoingWays to work together
Pick the shape that fits where you are today. Every engagement starts with a conversation, not a contract.
Free · 2 weeks
A clear picture of where your data stands and the highest-value next step.
Fixed scope · milestone based
We own delivery end to end, from architecture to launch, with demos every two weeks.
Monthly · flexible size
Senior data and AI engineers who join your team and work in your tools and rituals.
Example engagements
Platforms we build on
FAQ
We are a data and AI engineering company. We build on platforms you already run, migrate you off legacy systems, create new data and AI systems from scratch, and develop complete software products with data and AI built in.
No. We work across Databricks, Snowflake, Microsoft Fabric, AWS, Azure and Google Cloud, with clients in finance, healthcare, retail, manufacturing, logistics, energy, telecom and the public sector.
Yes. Most engagements start by getting more out of what you already own. We only recommend a migration when the numbers clearly favor it.
Yes. We build multi-agent systems where specialist agents collaborate through the open Agent2Agent (A2A) protocol, connect to your tools through custom MCP servers and APIs, and are managed from a central agent hub with monitoring, guardrails and human approval.
Yes. We build enterprise AI platforms in your own AWS, Azure or Google Cloud account, using models through Azure OpenAI, Amazon Bedrock, Vertex AI or open models you host, with company SSO, role-based access and full audit logging.
Discovery takes about two weeks. Most teams see a first workload in production within three months, then we deliver in short, demoable increments.
Send us a short note about where your data is today and what you want it to do. We will reply to you.
Start with a free 2-week Data & AI Assessment. No commitment.
Contact
Tell us where your data is today and where you need it to be. We will be in touch, and the first assessment is free.
Prefer email? info@fidenhelm.com
Privacy
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