Full-stack AI solutions
AI models, apps and agents, and the integration and cloud work around them.
- AI models
- AI apps and agents
- Full-stack apps and integration
- Cloud, DevOps and security
AI engineering services · built in your environment
Altius Soft is an AI engineering partner. A forward-deployed pod works alongside your team to take one workflow from your SOP to a governed system running in your environment, starting with a 6–8 week pilot.
Your cloud · your models · your keys · your audit trail

Why Altius
Most AI stalls between the demo and the workflow. We close that gap by starting from how the work really runs, and by building where it will run.

| Where AI stalls | How we build |
|---|---|
| Where AI stalls: Prototyped on sample data, outside your walls | How we build: Built on your data, in your cloud, VPC or on-premise. |
| Where AI stalls: Designed from slides about the process | How we build: Designed from your SOP, scripts and recorded calls. |
| Where AI stalls: Governance added at the end, if at all | How we build: Access control, audit trails and data residency from day one. |
| Where AI stalls: Handed over as a black box | How we build: Playbooks and runbooks your team owns. |
Services
Three ways we work with you. Most engagements combine them.
AI models, apps and agents, and the integration and cloud work around them.
From scattered data to AI agents that do real work, on your platform.
A pod that sits with your team and ships one workflow at a time.
Built into every project
How we engage
A fixed-scope pilot, run by a pod inside your environment and measured against your own baseline.

Step 1
We sit with the people who run the process, map the SOP, data and controls, and pick one high-volume workflow.
Step 2 · fixed scope
A forward-deployed pod builds it in your environment and measures it against your own baseline.
Step 3
Expansion is priced on outcomes, such as tasks completed and hours saved, with no platform lock-in.
Typical engagement: 6–8 week pilot · one pod · one workflow live · measured against your own baseline
See how we engageSolution stories
Anonymised stories from our services work. Each one describes the problem, what was built and how it is put together.

BFSI · Forward-Deployed Engineering
Digital lenders lose leads in the hours before a tele-caller reaches them; eligibility waits on bank statements emailed in pieces, and only a sample of calls is checked for mandatory disclosures.

BPO · Forward-Deployed Engineering
A contact centre relied on manual call sampling that missed quality and compliance issues, and leadership had no real-time view of agent performance, resolution trends or sentiment.

Healthcare · Data → Agentic AI
A healthcare provider platform validated provider identities against the national registry and mapped diagnoses to ICD-10 codes by hand, causing claim errors, rework and compliance risk.
Industries
Where consent, disclosures and data residency decide how AI may run.
Accelerators
Four accelerators we build with. They give a pilot a working foundation from the first week, and they run in your environment like everything else we build.
Accelerator · governed execution
A governed execution layer for enterprise AI and agent workloads.
In an engagement
Policy decides where each workload may run, and every execution leaves an auditable route receipt, so the pilot is governed from its first request.
Ecosystem
We pick models and tools to fit your cloud, your data and your budget, and we don't lock you in.
Solution architects and engineers across Azure AI Foundry, Azure OpenAI, Microsoft Fabric, Entra ID and Sentinel.
Start a pilot
Bring one workflow. Leave with a governed system running in your environment.
