Plant-level production data lived in eleven separate SCADA historians and a spreadsheet culture on top of them. We built a streaming pipeline into a lakehouse, reconciled the downtime taxonomy across sites, and put a single OEE and MTBF view in front of plant heads and the corporate team on the same refresh.
Data engineering · Integration · Managed operations · 9 monthsThe technology partner for companies that have outgrown fixing IT themselves.
We design, build and operate the systems a business runs on — cloud infrastructure, application modernisation, data platforms, security and AI automation — under one accountable delivery contract.
You already know what's broken. That's not the hard part.
Almost every estate we take over has the same six problems in some combination. None of them are mysterious. They persist because fixing them properly needs people who do this full time, and the team you have is busy keeping the lights on.
One person is the documentation
The integration works because someone remembers how. They have not taken leave in two years, and the handover folder is screenshots.
Nobody can price a product line
The cloud bill arrives as one number. Finance stopped asking which product, which customer, which region — because the answer was never available.
Security findings live in a spreadsheet
Remediation happens when an audit is booked, not when the risk appears. Nobody can say what is actually open right now.
Every release is a weekend
Manual steps in a specific order, no tested rollback, and the one engineer who knows the sequence is on the call at 2am.
The AI pilot never shipped
It demoed beautifully. Then it hit data access, approval workflows, and the question of who owns it when it gets something wrong.
Your MSP closes tickets, not causes
The same incident arrives every month with a new number. Availability is reported as green and the business experiences otherwise.
Six practices, one delivery organisation.
Most firms sell you a project and hand back a system nobody owns. We scope to a business outcome, staff a named squad against it, and stay on the hook once it's running. Expand any practice for what is actually inside it.
- Multi-account landing zones with policy-as-code guardrails
- Datacentre and colo exit, wave-planned with parallel run
- Kubernetes platform build, golden paths, internal developer portal
- FinOps: tagging model, showback, committed-use optimisation
- DR and backup architecture tested to a stated RTO and RPO
A documented target estate, migrated in waves, with unit cost per workload visible to finance and a recovery plan that has actually been rehearsed.
- Estate assessment: dependency map, risk register, sequencing plan
- Strangler-fig decomposition with measurable cut-over gates
- API and integration layer over ERP, MES, CRM and custom systems
- Re-platforming legacy .NET Framework, Java EE and Oracle Forms
- Automated regression suites built before anything is touched
Release cadence moves from quarterly to fortnightly, and the system stops being a single-person dependency.
- Lakehouse on Databricks, Snowflake or BigQuery with medallion layering
- Ingestion from ERP, MES, SCADA, CRM and third-party APIs
- Data contracts, lineage and quality tests wired into CI
- Streaming pipelines for shop-floor and operational telemetry
- Semantic layer and executive reporting in Power BI or Looker
One agreed set of numbers, refreshed on a schedule people trust, with the lineage to answer where any figure came from.
- Process mining first — we automate the steps worth automating
- Document AI for invoices, POs, contracts, claims and compliance packs
- Retrieval systems over internal knowledge, with source citation
- Agent workflows wired into ERP, ticketing and email, with approval gates
- Evaluation harness, drift monitoring and a rollback path for every model
A named process runs end to end with people reviewing exceptions instead of doing the whole thing, and a dashboard showing what the model got wrong.
- Identity and access redesign: SSO, MFA, privileged access, joiner-mover-leaver
- Network segmentation and zero-trust rollout, OT included
- SIEM tuning and detection engineering against MITRE ATT&CK
- Vulnerability management with a service-level clock on remediation
- Readiness programmes for SOC 2, ISO 27001, HIPAA, PCI DSS and DPDP
Control evidence produced continuously rather than assembled in a panic three weeks before the audit.
- Fit assessment and platform selection before anyone signs a licence
- Greenfield implementation, and re-implementation of estates that went wrong
- Data migration with reconciliation and a full audit trail
- Custom modules and extensions where the package genuinely does not fit
- Integration to MES, WMS, CRM, banking, e-invoicing and statutory filing
- Application management and support after go-live
One system of record the finance team trusts at month end, and a change process that does not need a consultant every time a tax rate moves.
- Follow-the-sun NOC with escalation paths agreed before go-live
- Observability build-out: metrics, logs, traces and synthetic checks
- Patch and change management under a published maintenance calendar
- L1–L3 service desk with your own ticket taxonomy
- Monthly service review and a quarterly technology roadmap
Incidents are found by monitoring rather than by a customer phoning in, and the monthly report shows it.
ERP is where most of this actually starts.
Nearly every estate we take on has an ERP at the centre of it — running well, running badly, or half-implemented and quietly abandoned. We implement, rescue, extend and operate the major platforms. We will also tell you when you do not need a new one, which is more often than the vendors suggest.
Full-scope implementations and ECC-to-S/4HANA conversions, plus the integration and Fiori work that decides whether people actually use it.
- Greenfield and brownfield S/4HANA
- ECC conversion with a tested fallback
- ABAP, CDS views and Fiori apps
- CPI / BTP integration and AMS
Our most common recommendation for mid-market manufacturing and distribution — broad enough out of the box, and genuinely extensible when it is not.
- Inventory, purchase, sales, accounting, MRP
- Custom module development in Python / OWL
- Multi-company and multi-currency rollout
- Migration off Tally, Busy or spreadsheets
Fast to stand up and cheap to run, which makes it right for services businesses and wrong for complex manufacturing. We say which one you are.
- Zoho One suite configuration and rollout
- Deluge scripting and custom Creator apps
- Cross-app workflows through Zoho Flow
- Migration from spreadsheets and legacy CRM
Where the business already lives in Microsoft — the Power Platform and Entra integration is what makes the difference, not the ERP module list.
- Business Central and F&O implementation
- AL extension development
- Power Apps, Power Automate and Dataverse
- Entra ID and Microsoft 365 integration
Strong for multi-subsidiary finance and companies expecting an audit or a raise. Heavier than mid-market teams expect, so we scope conservatively.
- Implementation and subsidiary rollout
- SuiteScript and SuiteFlow customisation
- Revenue recognition and consolidation
- Integration to CRM, banking and e-commerce
When no package fits the operating model, or when the existing system works and only needs a modern layer around it. Replacement is the last option, not the first.
- Custom ERP and workflow application development
- API and reporting layer over legacy systems
- Gradual module-by-module replacement
- GST, e-invoicing and e-way bill compliance
Connector library
Pre-built integrations between these platforms and the MES, WMS, CRM and banking systems they usually have to talk to.
Migration toolkit
Extract, cleanse, load and reconcile, with a row-level audit trail your auditor can follow after go-live.
Regression pack
Automated test suites for the core order-to-cash and procure-to-pay flows, so upgrades stop being a gamble.
Document AI pack
Invoice, PO and GRN extraction wired into the ERP with a human review queue for anything below confidence.
Opinionated about the stack, flexible about yours.
We have reference architectures we can stand up quickly, and we work in whatever you already own. What we will not do is introduce a tool nobody on your side can operate after we leave.
Landing zones and platform engineering across all three hyperscalers, with Terraform as the single source of truth. Hybrid and on-prem estates included — a lot of manufacturing and BFSI workloads are not going anywhere.
Lakehouse-first. Batch where batch is honest about latency, streaming where the business genuinely needs sub-minute data. Governance is built in from day one, not retrofitted after the first audit finding.
Model-agnostic. We pick per workload on accuracy, latency and where the data is allowed to sit — including fully self-hosted for regulated estates. Every deployment ships with an evaluation set and a rollback path.
Identity is the perimeter. We start there, then instrument detection against a named threat model rather than buying tools and hoping the alerts mean something.
Everything through pipelines, nothing through a console. Service levels are defined as objectives with error budgets, so "is it healthy" has a numeric answer.
The systems the company actually runs on. We integrate them rather than replace them, unless replacing one is genuinely the cheaper answer over three years.
Four phases. Each one ends in something you can hold.
The sequence is fixed because the risk sits at the front. Nobody should be writing code before the estate is understood and the business case is signed. Phase gates are real — we stop and re-scope if the assessment says the plan was wrong.
Assess
2–3 weeksWe inventory the estate, interview the people who keep it alive, and put a number on what it costs and where it breaks.
- Application and infrastructure inventory
- Risk register, ranked by business impact
- Cost baseline and licence audit
Architect
3–4 weeksTarget architecture, migration sequencing and a business case with a payback period your CFO will accept or reject on the numbers.
- Target-state architecture and ADRs
- Wave plan with cut-over criteria
- Three-year TCO model
Build
8–20 weeksA named squad, fortnightly releases into your environment, and a parallel run before anything legacy gets switched off.
- Dedicated squad with a named lead
- Fortnightly release, demo and burn-down
- Runbooks and handover written as we go
Operate
OngoingWe run it under an SLA, report on it monthly, and bring a roadmap to a quarterly review instead of waiting to be asked.
- 24/7 monitoring and incident response
- Monthly service report against SLA
- Quarterly roadmap and cost review
Three engagements, described the way our clients would describe them.
Named under NDA. Sector, scale and measured result are accurate; we will walk you through the full reference on a call, including what went wrong on the way.
Quoting was a phone call and a PDF, and dispatch was a whiteboard. We put an integration layer over their ServiceTitan instance, automated quote generation from job photos and price books, and added an agent that triages inbound jobs before a human sees them. Dispatchers kept final say on every assignment.
AI automation · Application modernisation · 5 monthsInvestor onboarding, capital calls and unit allocation ran on email and Excel, with a compliance team re-keying everything. We built a document-extraction pipeline for subscription packs, automated the drawdown workflow with approval gates, and generated SEBI-format reporting straight from the ledger.
Document AI · Workflow automation · Compliance reporting · 7 monthsEverything ran on Tally plus roughly forty spreadsheets, and nobody could state group stock position without two days of phone calls. We implemented Odoo across inventory, purchase, sales and accounting, migrated nine years of master and transaction data with a reconciliation trail, built two custom modules for scheme-based pricing and inter-depot transfers, and wired in GST and e-way bill filing.
ERP implementation · Data migration · Custom modules · 5 monthsWhat sponsors say once the project is live.
Reference quotes from the people who signed the work off and the people who use the systems daily. The cards below are templates — each one carries guidance on what makes a client quote land, ready to be swapped for the real thing.
Placeholder. Replace with a verbatim client quote — the strongest ones open with the problem in the client’s own words rather than with praise for the vendor.
Placeholder. Two to four sentences is the right length. Anything longer gets clamped at five lines here, and nobody clicks to expand a testimonial.
Placeholder. Quotes that name a number — a percentage, a duration, a headcount, a cost — consistently outperform quotes that describe a feeling.
Placeholder. Ask the sponsor what they were worried about before signing, and whether it actually happened. That answer handles an objection no marketing copy can.
Placeholder. Get written consent for the name, job title, company, logo and photograph. A verbal yes on a call is not enough for a public page.
Placeholder. If a client cannot be named, an anonymised quote still works — “Group CFO, listed manufacturer” is credible where an invented name is not.
Placeholder. A quote from the person who uses the system daily carries more weight than one from the executive who signed. Collect both and publish both.
Placeholder. Record the date each quote was given. A reference from four years ago should not sit beside one from last quarter without context.
You get the same console we watch.
Every managed client gets a live view of their own estate — service health, latency, incident state and SLA position — not a PDF summary at month end. This is a sample tenant, refreshing live.
Service levels, as they appear in the contract.
Business hours = 09:00–18:00 in your window · credits apply on miss| Severity | What it means | First response | Workaround | Resolution | Coverage |
|---|---|---|---|---|---|
| P1 · Critical | Business stopped. No workaround exists. | 15 minutes | 4 hours | 8 hours | 24×7 |
| P2 · High | A major function is degraded or a site is affected. | 30 minutes | 8 hours | 2 business days | 24×7 |
| P3 · Medium | Limited impact and a workaround is available. | 4 business hours | — | 5 business days | Business hours |
| P4 · Low | Query, service request or cosmetic defect. | 1 business day | — | 10 business days | Business hours |
We know a few sectors properly rather than all of them vaguely.
Domain knowledge is the difference between an integration that works and one that works the way the business actually operates. These are the six where we have delivered enough to be useful on day one.
Manufacturing & industrial
MES and SCADA integration, OEE and downtime reporting, plant-to-corporate data reconciliation, OT network segmentation.
Usual first project: unified downtime reportingFinancial services
Fund and investor operations, document extraction, regulatory reporting, audit-grade logging, RBI and SEBI-aligned controls.
Usual first project: automating the close cycleHealthcare & life sciences
HL7 and FHIR interfaces, PHI-safe architecture, clinical document processing, HIPAA-ready infrastructure with BAAs in place.
Usual first project: interface engine replacementLogistics & supply chain
TMS and WMS integration, carrier and customs APIs, track-and-trace pipelines, exception handling that routes to a human.
Usual first project: carrier data consolidationRetail & e-commerce
Order and inventory sync across channels, peak-season capacity planning, customer data platforms, storefront performance.
Usual first project: inventory truth across channelsProfessional services
Practice management integration, engagement and utilisation reporting, document AI for contracts and proposals, client portals.
Usual first project: utilisation and margin reportingThe three ways this problem usually gets solved.
Hiring and staffing are legitimate answers for some of this. Here is the honest comparison, including where we are the wrong choice — if you need one specialist embedded for a year, a staffing firm will be cheaper than us.
| Dimension | Hiring in-house | Staffing / body shop | Nexora AI |
|---|---|---|---|
| Time to first output | 3–6 months to hire, then ramp | 2–4 weeks to a CV, then ramp on your time | 2–3 weeks to a costed assessment |
| Who owns the outcome | You do, and you carry the risk | You do — they own the timesheet | We do, against a written scope |
| Cost shape | Fixed salary whether the work is there or not | Hourly and uncapped | Fixed assessment, milestone build, monthly run |
| Breadth of skills | Whatever you can hire and retain | Whatever that individual happens to know | Six practices available on one account |
| Uptime accountability | Internal escalation only | None | Contracted SLA with service credits |
| What happens at the end | Knowledge leaves when they do | Contract ends, little documented | Runbooks, IP transfer and exit assistance written in |
Three ways to start, priced three different ways.
Most clients begin with an assessment because it is the cheapest way to find out whether the rest is worth doing. Nothing here requires you to commit to the next stage.
Assessment
When you know something is wrong but not what it will cost to fix. 2–3 weeks, no commitment to what follows.
- Application and infrastructure inventory
- Risk register ranked by business impact
- Cost baseline and licence audit
- Target architecture and sequencing plan
- Three-year TCO model your CFO can challenge
Project delivery
A defined outcome with a date on it — a migration, a platform build, a process automated end to end. 8–20 weeks.
- Named squad with a named delivery lead
- Fortnightly release, demo and burn-down
- Parallel run before anything is switched off
- Runbooks and handover written as we go
- Payment tied to milestones, not hours
Managed services
When you want the estate run rather than rebuilt. 12-month initial term, 90-day exit notice either way.
- 24/7 monitoring and incident response
- Patch and change under a published calendar
- L1–L3 service desk on your ticket taxonomy
- Monthly service report against SLA
- Quarterly roadmap and cost review
We build to the framework your auditor uses.
Control design, evidence collection and remediation are part of delivery, not a separate workstream bolted on before certification. These are the frameworks we design and operate against.
Trust services criteria
Control mapping, continuous evidence capture and readiness support through the observation window.
ISMS build
Statement of applicability, risk treatment plan, and Annex A controls implemented in the live estate.
EU data protection
Lawful-basis mapping, data residency design, DSR tooling and processor agreements.
India data protection
Consent architecture, data principal rights workflows and breach notification runbooks.
Protected health information
Technical and administrative safeguards, audit logging, and BAA-ready infrastructure.
Cardholder data
Scope reduction, segmentation validation and quarterly scan remediation.
Built in India. Staffed to your working day.
Our engineering base is in Punjab, with delivery and support shifts arranged around client time zones rather than ours. Every account gets a named engagement lead in your window — not a ticket queue in a different hemisphere.
The eight things procurement always asks.
Answered here so the first call can be about your estate instead. If something is missing, ask it on the consult — we would rather disqualify ourselves early than late.
An assessment can usually begin within two weeks of a signed scope. Delivery squads are staffed in three to four weeks — we do not claim same-week availability, because that would mean pulling someone off another client's work, which is exactly what we would then do to you.
Your data stays in your tenancy and your region unless you explicitly move it. We work inside your cloud accounts under named, time-bound access with full audit logging. For AI workloads we can run entirely on self-hosted models where residency or contractual terms require it — no data leaves your boundary and nothing is used for training.
A 30-day parallel run. We shadow the incumbent, build the runbooks that usually do not exist, take over monitoring first, then service desk, then change control. You keep the incumbent under contract until the cutover criteria are met and you sign them off. We have never asked a client to terminate before we could prove the handover.
You do, on payment, including source, infrastructure-as-code, pipelines and documentation. We retain nothing that is specific to your business. Where we reuse our own pre-existing frameworks, you get a perpetual licence to use and modify them — the contract names them explicitly rather than leaving it vague.
90 days' notice on managed services, with exit assistance included at no extra charge: current runbooks, credential handover, a documented architecture, and up to 40 hours of knowledge transfer to whoever takes over. Exit terms are in the MSA from day one, not negotiated when the relationship is already going badly.
It depends on operating complexity far more than on revenue. Broadly: Zoho suits services businesses with straightforward inventory; Odoo suits mid-market manufacturing and distribution that needs real MRP without SAP economics; Business Central suits companies already committed to Microsoft; NetSuite suits multi-subsidiary finance and anyone heading for an audit or a raise; SAP earns its cost when you have genuine process complexity across multiple plants or countries. We run a two-week fit assessment before anyone signs a licence, and we have talked clients out of the more expensive option more than once.
Yes, and it is a meaningful share of our ERP work. A rescue starts with a two to three week diagnostic covering configuration, data quality, the integration surface and — usually the real problem — which business decisions were never actually made. You get a written finding on whether the existing implementation is salvageable before you commit to anything further. Sometimes the honest answer is to restart, and we would rather say that in week three than in month nine.
Work with, in almost every case. Your people know the business; we bring depth they cannot justify hiring full time. On managed services we typically take the after-hours and commodity load so your engineers stop being the on-call rota and go back to work that needs their context. If a client's real goal is headcount reduction, we say so plainly in the proposal rather than pretending otherwise.
Bring us the system that keeps you up at night.
A technical consult is 45 minutes with an architect, not a sales call. You describe the estate and the constraint; we tell you what we would do first and roughly what it costs. If we are the wrong firm for it, we will say so on the call.