Industries

Software that speaksyour industry's language.

Generic dev shops learn your domain on your budget. We arrive with the regulatory map, the integration patterns, and the vocabulary — then build to the standards your auditors expect.

Where we work

Eight industries, eight playbooks

Every card below is a real delivery pattern: what changes in that industry, what we typically build, and which regulation the build answers to.

01

Fintech & Banking

Money software fails loudly: a wrong ledger entry is a regulator conversation, not a bug ticket. We design for auditability first — every transaction traceable, every model decision explainable.

What we build
  • Fraud-scoring models with human-review queues
  • KYC & onboarding automation (document OCR + liveness checks)
  • Real-time payment & settlement dashboards

Built against RBI digital-lending guidelines, PCI-DSS & ISO 27001 controls.

02

Healthcare

Clinical software carries patient risk, so "move fast" changes meaning: fast iterations, never fast with data. Access control, consent, and audit trails are architecture decisions, not features added later.

What we build
  • Patient-360 data platforms with consent management
  • Diagnostic-assist ML models with clinician-in-the-loop review
  • Telehealth & appointment systems integrated with EHR/FHIR

HIPAA-aligned handling of PHI; ABDM & FHIR R4 interoperability where applicable.

03

Retail & E-commerce

Retail lives and dies on peak traffic — a sale-day outage costs more than a quarter of infrastructure. We engineer for elasticity and treat checkout latency as a revenue metric.

What we build
  • Recommendation & dynamic-pricing engines
  • Headless storefronts that hold up on sale days
  • Inventory & order-orchestration across channels

PCI-DSS scoped checkout flows; DPDP Act-ready consent & data handling.

04

Manufacturing

Factory systems talk to machines that predate the cloud, so integration is the real project. We bridge OT and IT without asking you to rip out equipment that still earns its keep.

What we build
  • Predictive-maintenance models on sensor & PLC data
  • Digital twin dashboards for line & plant visibility
  • Quality-inspection computer vision at the edge

OT/IT segmentation per IEC 62443; ISO 27001-aligned data practices.

05

Logistics & Mobility

Logistics software runs on imperfect data from moving vehicles and third-party carriers. The winning systems assume gaps — they reconcile, estimate, and keep the operation visible anyway.

What we build
  • Route-optimization & ETA-prediction engines
  • Fleet telematics platforms with live control towers
  • Carrier-integration hubs & freight-billing reconciliation

AIS-140 tracking norms, e-way bill & GST integration handled natively.

06

Energy & Utilities

Utilities balance decades-old grid infrastructure against minute-by-minute demand data. Software here must be boring in the best way: predictable, monitored, and safe to run for years.

What we build
  • Smart-meter data pipelines & consumption analytics
  • Load-forecasting models for demand planning
  • Outage-management & field-crew dispatch systems

CEA cyber-security guidelines for power systems; critical-infra hardening by default.

07

Telecom & Media

Telecom operates at a scale where a 1% inefficiency is a real budget line. We build for millions of events per minute — and for the churn models that decide which customers you keep.

What we build
  • Churn-prediction & next-best-offer models
  • Network-analytics pipelines on streaming event data
  • OTT content platforms with usage-based billing

TRAI consent & communication norms; DPDP Act-compliant subscriber data.

08

Insurance

Insurance margins hide in two workflows: underwriting and claims. Both are document-heavy, judgment-heavy, and exactly where well-governed AI pays for itself fastest.

What we build
  • Claims triage & document-extraction automation
  • Risk-scoring & underwriting decision-support models
  • Policy-servicing portals for agents & customers

IRDAI guidelines for insurtech; explainable models for underwriting decisions.

Domain onboarding

How we learn your domain

You should never pay senior rates for us to guess. This is the three-step routine that gets a Technovadors squad fluent in your business in about ten days.

  1. 01

    Embed with your team

    Week 0 discovery happens inside your operation, not on a slide deck. Our lead engineers sit with your ops, compliance, and product people, shadow the real workflows, and write down what the process actually is — including the exceptions everyone handles by memory.

    Output: a workflow map your own team signs off on.

  2. 02

    Map the regulation

    Before the first sprint, we turn the applicable rulebook — RBI circulars, HIPAA safeguards, IRDAI guidelines, PCI-DSS scope — into a concrete controls checklist tied to architecture decisions. Compliance becomes acceptance criteria, not a launch-week surprise.

    Output: a controls matrix mapped to your backlog.

  3. 03

    Ship domain-aware software

    The build follows our standard rhythm — foundations, core build, hardening — but every demo is judged in your terms: claim cycle time, checkout conversion, grid-forecast accuracy. Weekly demos mean domain gaps surface in days, not at UAT.

    Output: working software your domain experts recognise as theirs.

Not sure your industry fits a card above? It probably still fits the routine — write toinfo@technovadors.com and we'll tell you honestly.

Let's build

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