Enterprise modernization

Legacy systems · Real data · Production outcomes

Production AI

Models and copilots are easy to buy. Getting them onto the systems and data your business actually runs on is not. We modernize access and unify data so AI ships in production, not slide decks.

Talk to us See typical gaps

Sound familiar

The bottleneck isn't the model. It's the estate.

Teams hit the same walls after the first demo. None of these are fixed by a better model name.

Legacy is a black box

Core apps and databases were not built for APIs, events, or machine access. AI sits outside the systems where work really happens.

Data does not line up

Definitions differ by region and system. Reports conflict, features drift, and nobody wants to bet a production workflow on that.

Integration is one-off glue

Each pilot needs custom pipes and hero engineers. Nothing reusable, nothing your security team will happily sign off at scale.

Pilots never harden

Proofs stay in sandboxes because the path to governed, monitored production was never part of the plan.

You fix this by opening systems through stable interfaces and making data consistent and governed. Everything below is built around those two jobs.

Approach

Two pillars, one path

AI and automation need both: applications you can integrate without screen-scraping, and data that matches from warehouse to API. We run those tracks together so you are not tuning models on data that still does not match production.

Preparing Legacy for AI

Turn tightly coupled legacy into services and events that copilots, agents, and partner products can call with contracts, auth, and rate limits you control.

What we deliver

  • Decoupling, API layers (REST and GraphQL), and clear integration boundaries
  • Platform modernization across common enterprise stacks (for example PowerBuilder, Oracle, Sybase)
  • Interop with your identity, observability, and release practices

Outcome: New capabilities plug into the estate instead of bypassing it.

Preparing Data for AI

The warehouse, the API, and the slide deck all disagree. Every model trained on that data inherits the conflict. We build the governed data layer that makes them agree.

What we build

  • Medallion architecture from Bronze to Gold on Snowflake, Databricks, or Microsoft Fabric
  • Shared semantic definitions and quality rules that hold across acquisitions and divisions
  • One certified data layer that analytics and AI both pull from

Outcome: Analytics and AI ship on data you can explain and defend.

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Solutions

Solution areas

We deliver through six solution tracks. Each has clear scope, assets, and delivery. Pick the one that matches your landscape for assessments, roadmaps, and execution detail.

Oracle modernization

Upgrades, replatforming, and cloud migration for Oracle estates, with continuity for dependent applications and reporting.

Oracle modernization

Sybase development & modernization

Ongoing SAP ASE engineering, supported upgrades, and PostgreSQL migration with S2PIM—our agentic Sybase-to-Postgres intelligence platform.

Explore Sybase solutions

PowerBuilder modernization

End-to-end modernization for PB applications: architecture, cloud, UI, database alignment, and AI-ready integration patterns.

PowerBuilder solutions

Informatica → modern stack

Move off Informatica-heavy patterns to cloud-native pipelines, lakehouse or warehouse targets, and orchestration your teams can run and observe without legacy drag.

Informatica modernization

Pega to in-house web platform

Replace or narrow Pega with Angular or React applications you own: APIs, UX, and release cadence under your stack, not the vendor box.

Pega modernization

Outcomes

Value propositions

Run cost, speed to change, and AI that ships when the foundation is ready.

  • 30 to 50 percent lower legacy run cost as estates simplify
  • 40 to 60 percent faster programs with repeatable patterns, not hero rewrites
  • API-first surface so products and AI attach to contracts you govern
  • One governed data layer for analytics and AI with shared definitions and lineage
  • Fewer production surprises with observability, rollback, and audit-friendly trails
  • AI on a release cadence when data and APIs are production-ready

Accelerated POC

An accelerated POC at minimal cost

We scope a quick three-week proof on legacy, data, or both: bounded work, a short written readout, and something demo-ready. Pricing is structured for a low entry point; we align scope, cost, and timeline before kickoff.

Legacy 3-week POC

Legacy path to AI

Prove one blackboxed or tight module behind APIs and automate a bounded workflow with AI. Readout covers coupling, what to open next, and what a full program would take.

Request legacy POC
Data 3-week POC

Data path to AI

Run a real slice from ingest to serve so governed data for AI is visible in weeks, not on a slide. Readout on lineage, quality, and platform fit.

Request data POC
Both 3-week POC

Legacy + data together

Coordinated application and data POCs with one sponsor readout so funding conversations use evidence on both fronts.

Request both POCs

POCs target about three weeks and minimal cost; exact scope, fees, and NDA are confirmed before kickoff. Button links are placeholders until your form or CRM is connected.

Contact

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