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Shivya Technologies

Services · AI deployment & enablement

AI systems that get deployed, not just demoed.

Teams get a demo running, then stall for months on architecture, infra and scaling. We are one team from discovery through production — inside your own environment, your own cloud, your own compliance constraints.

10+
years shipping production AI
12+
AI products built and deployed
5
countries with delivered projects
5
team today, and hiring

What we offer

Six capabilities, one accountable team.

01

AI strategy & architecture

Data flow, integration points and security boundaries decided with your constraints in mind — not just model selection.

02

Agentic AI & automation

Multi-agent systems wired to your real tools, with a verification layer at every action boundary.

03

Applied AI & data science

Classical ML through LLMs and domain-tuned small models — the right-sized model for the job.

04

Data engineering & platforms

Pipelines, retrieval, knowledge graphs and the plumbing production AI actually depends on.

05

Cloud & MLOps enablement

Deploy and scale across AWS, Azure and GCP, including self-hosted models on your own GPUs.

06

Security & governance

Audit trails, explainability and data residency for regulated environments where “the model said so” isn't acceptable.

How an engagement runs

Deployment is a process, not a black box.

Every engagement moves through the same five stages — and what we learn in the last one feeds the platform, which makes the next design faster.

  1. Stage 1

    Discovery & architecture assessment

    Where you're stuck, what the data and compliance constraints are, and whether we're a fit.

  2. Stage 2

    AI system design

    Architecture, model choice, verification points and the path to production — written down.

  3. Stage 3

    In-house deployment

    Built inside your environment and your cloud, not a bolt-on demo.

  4. Stage 4

    Infra & scaling

    Cost, latency and reliability tuned for real traffic.

  5. Stage 5

    Continuous optimisation

    What we learn feeds the platform — which makes the next design faster.

↺ Stage 5 feeds platform R&D · the platform accelerates Stage 2

Already delivered, in production

Work our team has shipped.

Client names withheld while engagements are ongoing.

Banking / AML

Graph-based transaction profiling with audit-ready explainability.

0.95+

ROC-AUC

Fintech / FX

Lead-scoring and trade optimisation engines in production.

$100M+

processed · 12–18% savings

Healthcare & RegTech

Compliance-aware SaaS for practice operations and platform architecture.

PRD → design

end-to-end ownership

Explore solution patterns →

Where it fits

A decision goes out — and days later somebody says yes or no.

That gap shows up in specific industries, where an AI-produced output has to be trusted before it becomes an action.

Transport & Logistics

A customs filing, a booking, an invoice.

Trade documents checked before filing — duty math, Incoterms, HS codes — and a shipment plan simulated against free time and congestion before you commit to a route.

Oil & Gas

A permit to work, a drilling report.

Permits and daily drilling reports checked against isolation certificates and gas-test windows. Simulate an intervention plan and see which sequence breaks a safety barrier before anyone goes to site.

Finance & Banking

A covenant check, a screening result.

Covenant math, exposure limits, and sanctions screening checked as of the right date. Run an origination pipeline against hundreds of stress scenarios.

Healthcare

A prior authorization, a coding decision.

Prior authorizations and coding checked against what's actually charted and the payer policy on the date of service.

Ecommerce

A listing, a price, a claim.

Listing and pricing rules, substantiation of claims like "organic." Simulate a flash sale and see exactly which SKUs will oversell.

IT Industry

A change request, an access grant.

Change and access requests checked as policy-as-code. Blast radius simulated against the dependency graph before merge.

BPO

An agent response, a disclosure.

Disclosure and authority checks on agent responses. Live per-case SLA breach probability with a suggested reroute.

Engagement models

Work with us the way that fits.

Fixed-scope projects

Architecture, deployment, scaling.

Embedded AI pods

Our engineers inside your team.

Advisory & reviews

Architecture and production readiness.

Managed-run retainers

Keep systems healthy after launch.

White-label delivery

For cloud and AI consultancies.

Stuck between pilot and production?

Tell us where — architecture, infra, or scaling — and we'll tell you honestly whether we're a fit.

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