Enterprise AI Onboarding
Private RAG pipelines, autonomous agent workflows and model guardrails, built on your own knowledge base.
Explore service
Enterprise IT & AI transformation
Engineered for enterprise.Shipped in weeks.
One studio for C-suite technical strategy, hands-on software engineering and specialized AI/ML work, closing the gap between AI strategy and production.
01DiscoverWeeks 1–2
02Architect & PrototypeWeeks 3–5
03Build & IntegrateWeeks 6–12+
04Scale & OptimizePost-launch
What we do
All services
Four services. One accountable team.
Legacy Modernization
Monolith to microservices, multi-cloud migration and SOC 2, ISO 27001 and HIPAA alignment.
Explore serviceCustom Product Development
Full-lifecycle web and mobile platforms engineered for throughput, fault tolerance and long-term maintainability.
Explore serviceManaged Services & Optimization
Monitoring, SLA support, AI cost and latency tuning, and continuous enhancements after launch.
Explore service
Why Vortic Scale
The gap between AI strategy and production is where most programs stall.
Strategy firms hand over slide decks. Development shops wait for a spec. Vortic Scale does both: we set the technical direction with your leadership, then our own engineers build it, integrate it and run it to production.
01
Strategy
C-suite technical advisory, architecture roadmaps and AI readiness scoring.
02
Engineering
Hands-on software development, cloud infrastructure and integration work.
03
AI/ML
Specialized model, retrieval and agent engineering with guardrails built in.
How we work
The full lifecycle
A structured four-phase engagement.
Predictable execution for enterprise systems, with production rollout planned around zero operational downtime.
Phase 01 · Weeks 1–2
Discover & Blueprint
Technical audit of your codebase, APIs and data, ending in a transformation blueprint and milestone schedule.
Phase 02 · Weeks 3–5
Architect & Prototype
A working proof of concept for core AI workflows, plus cloud specs, API schemas and security parameters.
Phase 03 · Weeks 6–12+
Build & Integrate
Bi-weekly sprint releases, integration with your ERPs and CRMs, and automated CI/CD with security analysis.
Phase 04 · Post-launch
Scale & Optimize
Telemetry for latency, cost and uptime, team enablement workshops and ongoing SLA management.
Who we work with
Built for mid-market and enterprise teams.
Organizations that need rapid AI integration and legacy refactoring without the overhead of a large internal R&D hiring program.
- You have an AI mandate from leadership and need it running on your own data, safely.
- Core systems are slowing every new initiative and the monolith needs a way out.
- You need a product built to enterprise standards without hiring a full team first.
- Security and compliance reviews have to pass the first time.
Platforms and standards
- AWS
- Azure
- GCP
- Infrastructure-as-Code
- SOC 2
- ISO 27001
- HIPAA
Our promise
We bridge the gap between AI strategy and execution, delivering production-ready AI models and custom software platforms in weeks.
Start with Phase 01
Begin with a two-week technical audit.
We review your codebase, API throughput, data architecture and AI readiness, then hand you a transformation blueprint and milestone schedule you can act on with or without us.