Data
Turn your data into a strategic asset.
Every AI initiative, every automation, every business decision depends on data that's accessible, governed, and trustworthy. We build the foundation that makes all of it possible.
Your data isn’t an asset yet. It’s a liability you haven’t addressed.
Most enterprises are sitting on decades of data they can’t access, can’t trust, and can’t govern. We build the engineering, architecture, and governance that turns raw data into the foundation every AI initiative, every automation, and every strategic decision depends on.
Analytics without architecture is just expensive guessing.
Dashboards don’t create insight. Predictive models don’t create value. Not without the pipelines, quality frameworks, and governance that make the underlying data trustworthy. We build the full stack — from ingestion to intelligence.
Every AI initiative starts and ends with data. Get it wrong and nothing else matters.
The organizations winning with AI aren’t the ones with the best models — they’re the ones with the best data infrastructure. We help you build the pipelines, lakes, and governance that make AI possible at enterprise scale.
Our data expertise
Data engineering isn't plumbing — it's the structural foundation that determines whether your organization can move at the speed the market demands. We design and build modern data architectures: cloud-native pipelines, lakehouse implementations, real-time streaming, and the orchestration layer that keeps it all running. Whether you're migrating from legacy ETL, consolidating acquisitions, or building greenfield — the goal is the same: data that's accessible, reliable, and ready for whatever you need it to do next.
Talk to usThe gap between having data and using data is where most organizations stall. We bridge it with analytics infrastructure that goes beyond dashboards: predictive models that surface what's coming, anomaly detection that catches what humans miss, and self-service platforms that put intelligence in the hands of the people who need it. The point isn't more reports. It's faster, better decisions — at every level of the organization.
Talk to usUngoverned data is a risk. Every regulatory audit, every AI hallucination, every bad decision traced back to bad data — it all comes down to governance. We build the frameworks that make data trustworthy: catalogs that make it discoverable, quality rules that make it reliable, lineage tracking that makes it auditable, and access controls that make it secure. This isn't bureaucracy. It's the difference between data you can use and data you're afraid to touch.
Talk to usCase Studies
Our Data Work
San Diego Gas & Electric
Enterprise data platform modernization enabled real-time grid analytics and regulatory reporting
San Diego Gas & Electric needed to modernize its data infrastructure to support real-time grid analytics, regulatory reporting automation, and the data foundation for future AI initiatives. We designed and implemented a modern data platform that unified disparate data sources and reduced reporting cycles from weeks to hours.
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Regional Financial Services Firm
Enterprise data governance program reduced regulatory findings by 85% and enabled self-service analytics
A regional financial services firm with $12B in assets under management faced mounting regulatory pressure over data management practices. We designed and implemented a comprehensive data governance program that resolved compliance gaps and unlocked self-service analytics for the business.
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Insights
Our Data Insights
From Data Warehouse to AI: Building the Foundation for Machine Learning
Building a Data Strategy That Executives Actually Use
Data Lakehouse Architecture: Unifying Analytics and Engineering
Data Quality at Scale: Building Trust in Enterprise Data
Real-Time Data Pipelines: Architecture and Trade-Offs
Data Mesh in Practice: Decentralizing Data Ownership
Data Privacy Engineering: Building Compliance Into Your Architecture
The Modern Data Stack: Cutting Through the Hype
Ready to Build Your AI Roadmap?
Tell us where you are. We'll tell you what it takes to get where you're going.
FAQs
Common questions about how we work, what we build, and what it takes to move from experimenting with AI to operating with it.
It means going beyond buying AI tools. AI transformation is about redesigning how your organization works — restructuring workflows, redefining roles, deploying agents and custom models, and building the governance infrastructure to manage it all at enterprise scale.
Using ChatGPT or Copilot is a starting point, not a strategy. A transformation partner helps you move from ad hoc AI usage to systematic integration — purpose-built agents embedded in your workflows, custom models trained on your data, and governance frameworks that make it all enterprise-safe.
Agents handle specific tasks — analyzing data, routing requests, generating reports. Infrastructure is everything that keeps those agents reliable, compliant, and maintainable: monitoring, audit trails, access controls, model versioning, and the orchestration layer that ties them together.
Governance is built into every engagement from day one. We design audit trails, access controls, data handling policies, and compliance frameworks tailored to your industry — whether that’s SOX, HIPAA, SOC 2, or internal enterprise standards.
We work primarily with technology companies, large enterprises, and PE/VC-backed portfolio companies across finance, healthcare, telecommunications, manufacturing, and professional services. Our approach adapts to any regulated or complex enterprise environment.
It depends on scope. A focused agent deployment can take 4–8 weeks. A full workflow redesign with custom model development and governance infrastructure is typically a 3–6 month engagement. We scope every project during the Visualize phase before committing to timelines.
Both. For many use cases, fine-tuned versions of leading foundation models deliver excellent results. For enterprises with proprietary data and domain-specific requirements, we develop fully custom models. We recommend the right approach based on your data, use case, and cost considerations.
We integrate with your team, not replace them. Our engagements are designed to build internal capability — we work alongside your engineers, transfer knowledge throughout the process, and leave your team equipped to maintain and evolve the systems we build together.
Visualize: we map your current operations, identify AI opportunities, and design the target state. Realize: we build and deploy agents, models, and infrastructure. Optimize: we monitor performance, refine workflows, and scale what’s working. Each phase has clear deliverables and decision points.
Schedule a consultation. We’ll discuss where your organization stands today, where you want to go, and whether Mashbot is the right partner to get you there. No pitch decks — just a conversation about your business.
Still have questions?
Tell us what you're working on. We'll tell you if we can help.