⚡ Enterprise Modernization Specialists

From 70-year-old systems to modern AI — done right.

Titan Software Inc helps enterprises and government agencies modernize legacy technology stacks into AI-native platforms. Cobol, mainframes, IMS, batch jobs — we move them to the cloud, then to AI, with zero downtime and full data integrity.

Since 1987
39 Years in Enterprise IT
$60M+
Enterprise Contracts Delivered
100%
On-Time Production Cutovers
U.S.
Based & Operated
Who We Are

A senior IT consultancy built around one mission: bring legacy enterprises into the AI era.

Founded in California in 1987 — and turning 40 next year — Titan Software Inc has been the partner that Fortune 500 companies, financial institutions, and government agencies call when they have technology that is mission-critical, decades old, and impossible to "just rewrite."

We don't sell tools. We deliver outcomes — production-grade modernization from Discovery to Cutover, executed by teams who have actually maintained mainframes, migrated petabyte data warehouses, and shipped AI systems into regulated environments.

Why we exist

The market is full of legacy code older than the engineers who could maintain it. Yet the data inside those systems is often the most valuable asset a company owns. Titan exists to unlock that value — safely.

70 yr
Oldest tech we've migrated (1955-era batch)
Zero
Production data losses on cutover
Avg performance gain post-modernization
8 wk
Typical Discovery-to-Roadmap timeline
What We Do

Four service lines, one outcome: modern systems that serve the business.

We meet you where you are — whether that's Cobol on z/OS, a database from the Reagan administration, or a hybrid cloud you can't seem to finish.

🏛️

Legacy Modernization

Mainframe, AS/400, Cobol, RPG, JCL — assessed, refactored, replatformed, or rewritten. Risk-managed, business-continuous.

☁️

Cloud Migration

AWS, Azure, GCP. Lift-and-shift, re-architect, or cloud-native rebuild. Cost-optimized from day one.

🧠

AI Integration

RAG over your enterprise data. Voice & vision agents. Predictive models embedded in core workflows — not bolted on.

🗄️

Data Modernization

VSAM, IMS, hierarchical → relational → vector & NoSQL. Schema migration, ETL, lineage, governance.

Our Delivery Process

Four Phases — Discovery to Production.

Every Titan engagement follows the same disciplined lifecycle. No surprise scope creep, no "we'll figure it out in production." Each phase has explicit deliverables, gate reviews, and signoff.

01 — DISCOVERY

Discovery

  • Current-state assessment of code, data, infra
  • Stakeholder interviews & business goals
  • Risk register & dependency mapping
  • Modernization roadmap with TCO model
02 — DESIGN

Design

  • Target architecture (cloud, data, AI)
  • Migration strategy: rehost, refactor, rebuild
  • Security, compliance, observability blueprints
  • Detailed work breakdown & cutover plan
03 — DEVELOPMENT & TESTING

Develop & Test

  • Iterative builds with stakeholder demos
  • Automated unit, integration, and load tests
  • Parallel-run validation against legacy
  • UAT with business owners
04 — PRODUCTION

Production

  • Phased cutover with rollback plan
  • Hyper-care support window
  • Monitoring, runbooks, knowledge transfer
  • Continuous-improvement backlog
Technology Modernization Tracks

Three concurrent journeys: Compute, Intelligence, and Data.

Most "modernization" projects fail because they treat technology as one monolith. We separate the three independent transformations, sequence them correctly, and run them in parallel where it's safe.

Track 1 · Compute

Legacy → Cloud

Mainframes, AS/400, on-prem VMs migrated to AWS, Azure, or GCP. Right-sized, secured, observable, and significantly cheaper to operate.

MainframeVMContainerServerless
Track 2 · Intelligence

Cloud → AI

Once the workload is cloud-native, layer in AI: copilots, voice & vision agents, predictive analytics, and RAG over your own corpus — all with enterprise governance.

ReportsML ModelsLLMs + RAGAI Agents
Track 3 · Data

Data Modernization

The longest journey of all — and the one most companies underestimate. We move you across 70 years of data architecture, one safe step at a time.

FilesVSAMIMSRDBMSVector + NoSQL
Data Evolution Timeline

From punch cards to vector embeddings — 70 years of database evolution.

Most enterprises are stranded somewhere on this timeline. We meet you at your current step and migrate you forward — without losing a single record, audit log, or referential integrity rule.

1955–70s
Batch Files
Punch cards, sequential tape
1970s
VSAM
Indexed mainframe files
1968+
Hierarchical (IMS)
IBM Information Mgmt System
1980s+
Relational
DB2, Oracle, SQL Server
2010s+
NoSQL
Mongo, Cassandra, Dynamo
2020s+
Vector + AI
Pinecone, pgvector, Weaviate
Industries

Where we deliver.

Regulated, high-stakes industries where modernization isn't optional — and failure isn't an option.

🏦
Banking & Finance
🏥
Healthcare
🏛️
Government
📦
Logistics
Energy & Utilities
🛡️
Insurance
Why Titan

What makes us different from the big consultancies.

We're not a body shop. We're a senior team that ships.

Senior-only delivery

No junior consultants learning on your dime. Every engineer on your engagement has shipped legacy modernization in regulated environments.

Fixed-price Discovery

Most clients start with an 8-week Discovery — fixed scope, fixed price, full roadmap. You decide if we move forward together.

U.S.-based, security-cleared

All work performed onshore. Engineers cleared for federal, financial, and healthcare data environments.

AI-native by default

Every modernization we deliver is built to host AI workloads from day one — not retrofit two years later.

Outcome accountability

We tie our fees to milestones the business cares about: cutover dates, performance SLAs, cost-out targets.

Knowledge transfer

We don't lock you in. Every engagement ends with your team trained, documented runbooks, and zero Titan dependencies.

Get Started

Have a legacy system you can't keep running — or can't replace?

Tell us what you're modernizing. We'll respond within one business day with next steps for a Discovery engagement.