Industries
Redcubical Systems holds genuine delivery depth in healthcare and life sciences, banking and financial services and insurance, retail and e-commerce, logistics and supply chain, and manufacturing. Each of these is regulation-heavy, integration-heavy, or both. This page maps the rules that bind each sector, the systems we typically build, and the four sectors we deliberately do not claim.
At a glance
Definition
What industry depth means here
Industry depth is not a slide listing sector logos. For us it means three concrete things: we can name the regulations that constrain the design before you tell us, we have already integrated with the incumbent systems in that sector and know how they misbehave, and we have operated software in that domain under a live support obligation. Where only the first two are true, we say so.
Across the industry engagements we have delivered, the distribution of engineering effort is consistently counter-intuitive to buyers:
We estimate against that shape rather than against the feature list, which is why our proposals often reallocate budget away from where the request placed it.
Reference
One table, four columns. The regulations that bind you, the systems we typically build, and the integration surfaces that dominate the effort estimate. Read the fourth column carefully — it is where projects overrun.
| Industry | Regulations that bind it | Systems we typically build | Integration surfaces that dominate effort |
|---|---|---|---|
| Healthcare & life sciences | HIPAA and HITECH (US), DPDP Act 2023 and ABDM standards (India), UK GDPR with DCB0129 and DCB0160 clinical safety, EU GDPR special-category data, IEC 62304 where software is part of a device | Clinic and hospital management, patient portals, appointment and scheduling, e-prescribing, teleconsultation, consent and audit services, clinical data warehouses | HL7 v2 feeds with local segment customisation, FHIR R4 APIs with profile ambiguity, EHR and EMR vendor interfaces, lab and imaging systems, ABDM and ABHA rails, device data streams |
| Banking, financial services & insurance | RBI master directions and outsourcing guidelines with data localisation (India), FCA and PRA rules with Consumer Duty (UK), PCI DSS v4.0 for card data, PSD2 and SCA in Europe, AML and CFT obligations, ISO 20022 migration deadlines | Lending origination and decisioning, KYC and AML workflow, double-entry ledgers, reconciliation engines, payment orchestration, regulatory reporting, policy admin and claims | UPI and NPCI rails, SEPA, ACH and Faster Payments, card acquirers and switches, bureau and sanctions data providers, core banking and policy administration systems, ISO 20022 message translation |
| Retail & e-commerce | PCI DSS scope for payment flows, GDPR and DPDP for customer profiles, consumer protection and distance-selling rules, e-invoicing and GST or VAT obligations, accessibility duties under EAA and WCAG 2.2 | Headless storefronts, order management and orchestration, inventory and availability services, PIM, promotions and pricing, returns and reverse logistics, search and personalisation | ERP and finance systems, marketplace and channel APIs with rate limits, payment service providers and fraud tools, WMS and 3PL, tax engines, search and recommendation platforms |
| Logistics & supply chain | Customs and trade compliance regimes, dangerous goods and ADR rules, driver hours and tachograph rules, cold chain and food safety obligations, cross-border data transfer rules for telematics | Transport management, dispatch and route planning, warehouse management, yard management, rate shopping, shipment visibility and ETA, proof of delivery, customs documentation | EDI over X12 and EDIFACT with per-partner dialects, carrier APIs of wildly varying quality, telematics and IoT device streams, scanner and handheld apps, customs broker and port community systems |
| Manufacturing & Industry 4.0 | ISA-95 and ISA-99 or IEC 62443 for OT security, product traceability and recall obligations, GxP where regulated production applies, machinery and CE marking duties for the equipment itself | MES layers, OEE and plant-floor dashboards, quality management and genealogy, edge data collection, maintenance and condition monitoring, ERP integration and production scheduling | OPC UA and Modbus gateways, MQTT with Sparkplug B, historian systems, SAP and Dynamics interfaces, SCADA and PLC data, legacy line equipment with no network stack at all |
The regulation column is context for engineering decisions, not legal advice. Applicability depends on your entity, your markets and your data. We design to the controls your compliance function confirms, and we document the assumption in writing when confirmation is still pending.
Verticals
Each page below covers the domain workflows, the regulatory position by market, the integration reality, the architecture patterns we default to, and at least one honest limitation.
Deepest vertical
HL7 v2 and FHIR R4 interoperability, EHR integration, HIPAA against DPDP and GDPR, ABDM and ABHA for India, clinical safety documentation, consent and audit. We operate our own clinic platform in this sector, which is why it is our strongest.
Regulated money
Lending origination, KYC and AML workflow, payment rails from UPI to ISO 20022, double-entry ledger design, reconciliation engines, PCI DSS scope minimisation, regulatory reporting, policy admin and claims.
Peak-load engineering
Composable commerce against monolithic platforms, distributed order orchestration, available-to-promise inventory, marketplace and channel integration, festive and Black Friday capacity engineering, fraud, returns and product data quality.
Physical operations
Transport management and route optimisation heuristics, fleet telematics ingestion, warehouse and yard management, carrier rate shopping, EDI, shipment visibility and ETA prediction, cold chain and proof of delivery.
OT meets IT
OT and IT convergence across the Purdue model, industrial protocols, MES and ERP integration, ISA-95 hierarchy, OEE dashboards, traceability and genealogy for recall, edge against cloud, and honest limits on predictive maintenance.
Cross-cutting
The eleven engineering capabilities that deliver the systems above, from custom software and cloud platforms through data engineering, applied AI, quality engineering and managed support.
Patterns
The patterns we bring to every industry
Five patterns recur regardless of vertical: an anti-corruption layer between your domain model and every external system, idempotency on every inbound message, an immutable audit log written on the same transaction as the change, explicit data classification driving residency and retention, and a reconciliation job that proves your state matches the source of record. Systems missing these fail in the same predictable ways.
External schemas — HL7 segments, ISO 20022 messages, EDIFACT sets, OPC UA node trees, marketplace payloads — never reach the domain model directly. A translation layer owns the mapping, the version drift and the vendor quirks. When a partner changes a field, one adapter changes and the core does not.
Field scanners double-submit, payment gateways retry callbacks, HL7 interfaces resend after a timeout, sensors replay buffered readings. Every inbound handler carries a deduplication key and a stored result, so the same message arriving five times produces one effect.
Who changed what, when, from where, and what the previous value was — committed in the same database transaction as the change itself, not emitted to a log pipeline that may drop it. In healthcare and BFSI this is a control requirement. Everywhere else it is what makes support tractable.
Each field is classified at design time: special-category health data, cardholder data, personal data, operational telemetry. Classification determines residency, encryption, retention, masking in non-production and who may query it. Retrofitting classification after launch is an expensive migration.
A scheduled job that compares our state with the authoritative system and reports differences as a monitored metric. Payments against bank statements, stock against a physical count, shipment status against the carrier, production counts against the historian. Silent divergence is the failure mode nobody plans for.
Runbooks, architecture decision records, dashboards and paired on-call. Domain systems have long lives and the team that operates them in year four is rarely the team that built them in year one.
Honesty
Four sectors we turn down or scope narrowly. Not because they are uninteresting, but because competence in them is built over years and cannot be improvised on your budget.
Where we are the wrong supplier
We do not claim depth in defence and national security, telecommunications core network, high-frequency and low-latency trading, or games development. Each requires clearances, certifications, hardware-level specialisms or production disciplines we do not hold. Saying so is not modesty. It is the only way our claims about the five verticals we do cover mean anything.
| Sector | Why we do not claim it | What we would do if you asked |
|---|---|---|
| Defence and national security | Requires personnel security clearances, sovereign-only delivery, controlled-goods handling and accreditation regimes such as export control and national security vetting. An Indian bootstrapped firm with a distributed delivery model is structurally the wrong shape for this, regardless of engineering skill. | Decline, and say why in the first call rather than after a bid process. |
| Telecommunications core network | Core network work means 3GPP specifications, 5G core and IMS internals, SS7 and Diameter signalling, and carrier-grade platforms measured in five-nines with hardware-level packet processing. That is a career specialism, not a capability you staff for one project. | Decline the core. We will happily build the BSS-side portals, self-service apps and data platforms that sit above it, with the boundary written into the statement of work. |
| High-frequency and low-latency trading | Competitive HFT lives in kernel bypass, FPGA acceleration, colocation, nanosecond clock discipline and exchange microstructure knowledge. Our engineering is strong at millisecond scale and honest about not being an HFT shop. Claiming otherwise would be found out in week two. | Decline latency-critical execution paths. We can build the surrounding risk, reporting, reconciliation and back-office systems where milliseconds are acceptable. |
| Games development | Games are a different production discipline: engine specialism in Unreal or Unity, gameplay feel, art pipelines, console certification and live-ops economies. Very little of enterprise engineering practice transfers, and the parts that do are not the parts that make a game good. | Decline. We would refer you to a studio rather than learn on your budget. |
There is a second, quieter list: any engagement where the software would be a regulated medical device requiring conformity assessment, any request to build systems whose purpose is to evade regulatory reporting, and any brief that depends on scraping personal data without a lawful basis. Those are declined on principle rather than on capability.
Between the five verticals and the four exclusions sits a middle ground. We take this work, and we price the learning curve openly rather than pretending it does not exist.
Engagement
Forty-five minutes. We ask which regulations your compliance function has already confirmed apply, which incumbent systems are immovable, and what the real operational deadline is. If we lack the depth your problem needs, this is the call where you hear it.
Two to three weeks shadowing operators — clinic front desk, reconciliation team, warehouse pickers, plant supervisors — not only their managers. Output is a written workflow, an integration inventory with contact points, a data classification map and a risk register.
A reference architecture adapted to your estate, with each applicable control mapped to the mechanism that satisfies it: audit log, consent record, residency boundary, retention job, access model. Reviewed with your compliance or risk function before build.
We build the hardest integration first, not last. If an HL7 feed, a carrier API or a PLC gateway is going to be the problem, we would rather discover it in week three than in the week before go-live.
In regulated and operational sectors we run the new system alongside the old and reconcile daily until the difference report is empty. Cutover happens against agreed criteria with a documented rollback, never on a date alone.
Answers
Because in regulated and integration-heavy sectors the code is the easy part. What takes time is knowing that an HL7 v2 ADT feed arrives with local segment customisations, that a reconciliation break has eleven plausible causes, or that a warehouse scanner will submit the same barcode twice. Domain experience is mostly a catalogue of failure modes you have already paid for once.
Healthcare and life sciences, by a clear margin. We do not only build for it, we operate in it: HealHub has been live clinic management software since 2023, Vedant handles patient calls as an AI receptionist, and HealHub Nexus runs a verified doctor network. That means we carry first-hand operational responsibility for patient data, uptime and clinical workflow, not just project experience.
Often yes, but we will tell you plainly that you are buying engineering capability rather than domain fluency, and we will price the discovery to reflect the learning curve. Where a sector needs certifications, safety cases or licensing we do not hold, we say no rather than subcontract the risk back to you.
No. We build systems that make compliance achievable and evidence-able: audit trails, consent records, data residency, access controls, retention rules, reporting pipelines. Interpreting a regulation for your specific entity is work for your compliance officer, regulator or counsel, and we coordinate with them rather than substituting for them.
A paid discovery of two to three weeks with your operators, not just your managers. We shadow the people who use the current system, write the workflow down, then read it back to them until they stop correcting it. That document becomes the specification and, in our experience, is the single largest determinant of whether the build lands.
Yes, as starting points rather than products. Each vertical has a reference integration map, a data model skeleton, a threat model and a compliance control checklist that we adapt. They save roughly two to four weeks of design time; they do not replace design.
Only where a client has given written permission, which most enterprise clients do not. Elsewhere we describe engagements anonymously by market and profile, for example a Gulf logistics operator or a UK insurance broker. We would rather be vague than borrow a logo we are not entitled to use.
Describe the operational problem, the systems you cannot replace and the regulatory position you are working to. We will tell you which of our verticals it falls in, or that it does not fall in any of them.