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Engineering company · not an IT-services shop

We build what you'd otherwise buy.

initvalue modernizes IT, exits legacy platforms, migrates estates to the cloud, and builds sovereign ML and autonomous-agent capabilities in-house — so you own the roadmap instead of renting it.

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  • /SAS exit
  • /Control-M exit
  • /Mainframe → AWS
  • /On-prem → Cloud
  • /Vendor product exit
  • /Sovereign ML
  • /Autonomous agents
  • /SSIS/SSRS → Fabric
  • /Everything as code
Why initvalue

Most technology partners assemble other people's products. We engineer the capability itself — the billing platform, the cloud-security engine, the ML stack, the autonomous agent — and hand you something you fully own.

50+
engineered platform repos
4
countries, one team
0
vendor lock-in by design
100%
everything as code
01
Capabilities

Seven ways we create initial value.

Each is a full engineering engagement — assessment, build, migration, and handover — delivered as code you own.

01

IT Modernization

Turn slow, opaque delivery into a fast, observable, fully automated pipeline — where infrastructure, policy, and release are all code.

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02

Legacy Platform Exit

Structured, low-risk exits from expensive legacy platforms — SAS, Control-M, IBM mainframes — onto open, cloud-native equivalents you control.

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03

On-Prem to Cloud

End-to-end migration of on-premises estates to the cloud, engineered for cost, resilience, and security — not just a lift-and-shift that moves the problem.

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04

Build In-House

Replace expensive, inflexible vendor products with business capabilities built and owned in-house — from telecom billing to cloud security.

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05

ML Solutions

A custom, portable ML platform for AI sovereignty with no hard cloud dependency — and pragmatic use of Vertex, Azure ML, and Bedrock where they earn their place.

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06

Agentic AI

Real autonomous agents that plan, use tools, and act on your systems under deterministic guardrails — powered by our Unified Agentic Platform (UAP). Not AI-assisted development.

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07

Data Platform Migration

Migrate legacy data and BI estates — SSIS, SSRS, and older tooling — to modern lakehouse and analytics platforms like Microsoft Fabric, Databricks, and Power BI.

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Not sure which fits? Most engagements start with a two-week assessment.

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Products

We don't just advise on autonomous AI. We ship it.

Three products, built and run on our own Unified Agentic Platform — each owning real work end to end, under deterministic guardrails.

AWS · Azure · GCPScanPolicyTestFixblast radiushuman approval ≥ threshold

An autonomous CSPM agent that scans AWS, Azure, and GCP for misconfigurations, writes and tests its own policy, scores blast radius, and remediates with Terraform — under a human approval gate.

  • Multi-cloud scanning
  • Policy authoring (RAG → Rego)
  • Self-testing policy
  • Blast-radius review
Explore ACSE
02
How we work

Assess. Build in slices. Prove parity. Hand over.

No big-bang cut-overs. We prove value on real workloads — in parallel with what you run today — before anything legacy is switched off.

01

Assess

Map the estate, dependencies, costs, and the real bottleneck — a clear business case per workload.

02

Build

Lay the paved road and build in slices — everything as code, reviewable and reproducible.

03

Prove

Run old and new in parallel until output parity and safety are demonstrably proven.

04

Hand over

Decommission the legacy, transfer ownership, and leave observability and runbooks behind.

03
Resources

Field notes from the work.

Case studies, whitepapers, and engineering notes on legacy exits, cloud migration, sovereign ML, and building agents that can be trusted with real actions — published from our CMS.

All resources