For CTOs & CDOs

Stop spending millions on data pipelines that become obsolete the moment you finish building them. DataSurface is the strategic infrastructure investment that pays dividends for decades.

The Problem You're Facing

Your data teams are drowning. They're spending 80% of their time building and maintaining point-to-point pipelines instead of delivering business value. Every new data consumer requires custom engineering work. Every producer change breaks downstream systems. And the technical debt is compounding faster than you can hire engineers.

The math is brutal: With P producers and C consumers, you need P × C pipelines. That's exponential complexity that doesn't scale.

The Business Impact

60-80%

Wasted Engineering Time

Your best engineers are building infrastructure plumbing instead of solving business problems. DataSurface eliminates the pipeline work.

3-6 months

Time to Delivery

New data requests take months of engineering work. DataSurface reduces this to minutes—update the model, merge the PR, data flows automatically.

100%

Vendor Lock-In Risk

You're betting the company on a Big Data Vendor. When they raise prices or fall behind technically, you're trapped. DataSurface gives you freedom.

$10M+

Migration Cost

Migrating to a new data platform is a multi-year, multi-million dollar rewrite project. With DataSurface, it's a configuration change.

How DataSurface Solves This

1. Reduce Pipeline Complexity by 90%

From P × C to P + C + T — Instead of building custom pipelines between every producer and consumer, DataSurface automatically generates the data flows. Producers declare availability. Consumers declare requirements. DataSurface handles the logistics.

Real Impact: A firm with 50 producers and 100 consumers goes from maintaining 5,000 pipelines to managing ~150 model definitions. That's 97% less code to maintain.

2. Eliminate Vendor Lock-In

Technology agnostic by design — DataSurface sits above your data infrastructure like TCP/IP sits above network hardware. Use any vendor today, switch to another tomorrow, or adopt the next innovation in 3 years. Your business logic never changes.

  • Run on AWS, Azure, or on-premise with the same model
  • Switch database technologies to optimize costs without rewriting code
  • Negotiate from a position of strength—vendors know you can leave
  • Adopt new technologies as they emerge without the "rip and replace" nightmare

3. Data Flowing in Minutes, Not Months

GitOps for data — New data requirements are model changes. Submit a PR, automated linting validates correctness and compliance, merge to main, and data starts flowing in minutes. The infrastructure updates automatically, pipelines are generated, and consumers immediately get access. No custom engineering, no JIRA tickets, no waiting.

Traditional Approach
3-6 months
Requirements → Design → Build → Test → Deploy
DataSurface
Minutes
Update model → Merge PR → Data flows automatically

Real Speed: When you merge a model change, the platform detects it within minutes, automatically generates the necessary infrastructure, and starts ingesting data. A new consumer workspace can be querying data before you finish your coffee.

4. Eliminate Technical Debt

Build "Decade-Ware," not disposable pipelines — Traditional pipelines become obsolete as technology evolves. DataSurface's abstraction layer means your business logic survives technology changes. The infrastructure underneath can be upgraded continuously without breaking anything above it.

Strategic Value: Your data platform becomes an appreciating asset, not a depreciating liability. New platform features automatically benefit all consumers. Better technologies can be adopted incrementally. Your investment compounds over time instead of requiring periodic rewrites.

Conservative ROI Estimate

Engineering Time Saved
60% FTE reduction
10-engineer team → 4 engineers needed for pipelines
Time to Market
100x faster delivery
3 months → minutes for new data flows
Migration Risk
$0 switching cost
vs. $10M+ for traditional platform migration

Typical payback period: 6-12 months

Based on a 20-engineer data platform team saving 12 FTEs at $200K fully-loaded cost

De-Risk Your Data Strategy

Regulatory Compliance

Git-backed audit trails, automated policy enforcement, and governance zones ensure compliance without slowing down delivery. GDPR, CCPA, SOX—built in, not bolted on.

SOC 2 Ready: Native support for Trust Service Criteria CC6-CC9, including access controls, change management, and risk mitigation.

View SOC 2 Compliance Details →

Talent Retention

Engineers want to solve business problems, not maintain brittle pipelines. DataSurface eliminates the grunt work, making your data team attractive to top talent.

M&A Integration

Acquiring companies? DataSurface makes data integration painless. Federated governance zones mean acquired teams can operate independently while sharing data.

Cloud Cost Optimization

Multi-home workloads across vendors and optimize costs continuously. Move to cheaper platforms as they emerge without breaking consumers.

Early Access Program

DataSurface is currently in pre-GA with select pilot partners. We're working with forward-thinking data teams to refine enterprise deployment before general availability.

✅ Actually Working Today

Multi-Cloud + On-Premise

Same infrastructure code runs on AWS EKS, local Kubernetes, and Ubuntu clusters. Deploy once, run anywhere.

Multi-Database Portability

Operational with Postgres, SQL Server, Oracle, and DB2 simultaneously. Consumers can use different databases than producers—DataSurface handles translation.

CQRS at Scale

Consumer Replica Groups replicating from primary storage (Postgres) to consumer tier (SQL Server, Oracle) with batch consistency and forensic history maintained.

Schema Evolution Without Downtime

Producer adds columns → DataSurface blocks sync if consumer behind (prevents data loss) → Consumer updates → Data flows automatically. All tested with edge cases.

Real Complexity Proven

40,000 dataset model (1,000 datastores × 40 tables) loads and validates in 4 seconds. Full DAG generation, schema reconciliation, view creation all working.

Built by veterans of enterprise-scale systems: Algorithms and architecture battle-tested from 6 years operating 12M dataset, 1.8PB/day platforms at Goldman Sachs where mistakes = regulatory fines + license revocation.

Are You a Good Fit for Early Access?

We're looking for design partners who:

  • Spend $2M+ annually on data infrastructure
  • Have 10+ data engineers maintaining pipelines
  • Face vendor lock-in or costly migration projects
  • Need regulatory compliance with audit trails
  • Want to influence product direction

Shape the product while solving your data challenges

Schedule a Conversation

Ready to Transform Your Data Infrastructure?

Schedule a consultation to discuss your specific challenges and see how DataSurface can deliver ROI in your organization.

Schedule a Consultation View Solutions & Pricing