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Secure AI virtual data roomsERP development services that fit how you actually operate.
Off-the-shelf ERP asks your business to change shape. We build the other way round — custom ERP software, new modules on the platform you already run, and the integrations that finally make your systems agree with each other.
- Senior in-house engineers
- You own the code
- Phased rollouts
- Reply in 1 business day
Most companies don’t need a bigger ERP. They need one that matches the business.
Every off-the-shelf ERP encodes somebody else’s idea of how a company should run. That is fine until your margin depends on the parts that are genuinely yours — the way you quote custom work, allocate landed cost, schedule a plant, or handle the exception that happens forty times a week and lives entirely in one person’s head.
What follows is familiar. Spreadsheets appear beside the ERP to hold the truth. Staff re-key the same order into three systems. Month-end close takes a week because nobody trusts the numbers without reconciling them by hand. The software is running, and the business is working around it.
Custom ERP development inverts that. The system is built around your operating model, which means the workarounds stop being necessary. If you are weighing this against a broader replatform, our software modernization and enterprise software development practices cover the adjacent ground.
- The same data is entered into two or three systems by hand.
- The real numbers live in a spreadsheet next to the ERP.
- Month-end close takes days of manual reconciliation.
- Nobody can get the report the board keeps asking for.
- Per-seat licensing now costs more than a build would.
- The vendor says your requirement is “not supported”.
- One record, entered once, visible everywhere.
- Reporting straight off the operational data.
- Close that runs on schedule, not on heroics.
- Workflows shaped like your actual process.
- A fixed asset instead of a growing subscription.
ERP modules, built to your process.
Almost nobody needs all of these on day one. Most builds start with the two or three modules where the pain is measurable, prove the system in production, then extend.
Finance & accounting
General ledger, AR/AP, multi-entity consolidation, cost accounting, revenue recognition, and a close process that runs on a calendar instead of on overtime.
Finance systems →Inventory & warehouse
Multi-location stock, lot and serial traceability, cycle counting, barcode and RF scanning, landed cost, and reorder logic that reflects your real lead times.
Manufacturing & MRP
Bills of materials, routings, work orders, capacity and production scheduling, shop-floor data capture, scrap and yield tracking, and true per-unit cost.
Procurement & purchasing
Requisition and approval chains, vendor management and scorecards, RFQ handling, purchase orders, three-way matching, and contract pricing.
Order management
Quote-to-cash across every channel, configurable pricing and discount rules, allocation, backorders, returns, and fulfilment that reflects real availability.
eCommerce builds →CRM & sales
Pipeline, accounts, and quoting wired directly to inventory and pricing — so a salesperson quotes what you can actually deliver, at a margin you can actually make.
CRM development →Reporting & BI
Operational dashboards, board reporting, and a warehouse layer when analytics load outgrows the transactional database.
Business intelligence →Logistics & field service
Dispatch and routing, mobile job capture with offline support, proof of delivery, carrier and 3PL integration, and service-contract billing.
Quality & compliance
Inspection plans, non-conformance and CAPA workflows, document control, electronic signatures, and the audit trail your regulator or customer expects.
Security engineering →Projects & job costing
Estimates against actuals, WIP, progress billing, change orders, resource allocation, and profitability visible per job rather than per quarter.
Customer & vendor portals
Self-service order status, document exchange, invoice and payment history — the calls that currently interrupt your team, answered by the system.
Forecasting & AI
Demand and inventory forecasting off your own transaction history, document intake that reads invoices, anomaly detection, and natural-language querying.
AI development →Build, buy, or extend what you have?
We turn down custom builds that shouldn’t happen. If a licensed product genuinely fits, that is the cheaper answer and we will say so. Here is how the three paths actually differ.
| Off-the-shelf ERP | Custom ERP build | Extend what you run | |
|---|---|---|---|
| Fit to your process | You adapt to the software; configuration only goes so far. | Built around your operating model, including the parts that make you money. | Core stays generic; the specific parts become custom modules. |
| Time to first value | Fast to license, slow to fit — configuration projects routinely run a year. | First module in production in a quarter with phased rollout. | Fastest — 8 to 16 weeks for a focused module or integration. |
| Cost shape | Ongoing per-seat licensing that scales with headcount, forever. | Capital cost up front, then hosting and maintenance only. | Existing license continues; incremental build cost. |
| Ownership | Vendor owns the roadmap, the data model, and the exit price. | You own the source, the data, and the infrastructure outright. | Shared — you own the extensions, vendor owns the core. |
| Integration reach | Limited to what the vendor exposes and prices. | Anything with an API, a database, a file drop, or a queue. | Good, within the platform’s extension model. |
| Best when | Your processes are standard and you’ll change to match them. | Your operating model is the advantage, or licensing math has broken. | The core works and only a few workflows are wrong. |
One system between the floor and the office.
An ERP earns its keep at the seams — where the warehouse meets accounting, and the shop floor meets the forecast. This is the architecture we build toward.
Documented APIs
Every module talks over an internal API that is versioned and documented, so the next system you add has something clean to connect to.
API development →A data model that holds
Normalised transactional storage with a reporting layer alongside it, so analytics never slow down the people entering orders.
SQL & data modeling →Deployed where it belongs
Containerised on AWS or Azure, or on-premises when regulation or shop-floor latency makes cloud the wrong answer.
Cloud deployment →Visible in production
Logging, metrics, and alerting from day one — an ERP failing quietly is far more expensive than one failing loudly.
DevOps & monitoring →The ERP development services we provide.
Most companies arrive needing two or three of these. The first conversation is usually about working out which.
ERP consulting & audit
A senior engineer maps your current systems and processes, quantifies where the cost actually sits, and tells you whether to build, buy, or extend — before anyone commits a budget.
Technology architecture →Custom ERP development
A full system built to your operating model, delivered module by module into production rather than as a single high-stakes switchover.
Scope this work →ERP module development
New capability on the platform you already run — NetSuite, SAP, Dynamics, Odoo, Acumatica, Sage, Epicor, or a homegrown system nobody wants to replace yet.
SAP engineering →Legacy ERP migration
Moving off an end-of-life or unsupported system with rehearsed, version-controlled data migration and a documented rollback path.
Software modernization →ERP integration
Connecting the ERP to accounting, CRM, eCommerce, EDI, 3PL, payments, payroll, and shop-floor equipment — including systems with no API at all.
Integration & APIs →Reporting & analytics layers
Getting real reporting out of an ERP that will not give it up, with dashboards built on the operational data rather than a monthly export.
Data engineering →Workflow & process automation
Removing the manual steps between systems — approvals, document handling, reconciliation, exception routing — with rules or agents, whichever the process warrants.
Workflow automation →Robotic process automation
When a system genuinely cannot be integrated, RPA bridges it — a pragmatic stopgap while the proper integration is engineered.
RPA services →Support, hosting & retainers
Monitoring, incident response, new modules, integration maintenance, and performance work as your data volumes grow. An ERP is never finished.
Dedicated teams →Tell us about your ERP project.
Generic contact forms produce generic answers. This one asks the questions that actually determine scope — what you run today, which modules matter, what has to be integrated, and how many people will touch the system.
It takes about two minutes. A senior engineer reads it before replying, so the first conversation starts from your situation rather than from a discovery script.
- Read by an engineer, not routed to a sales queue.
- A written response within one business day.
- An honest read — including when custom is the wrong call.
- No obligation, no drip sequence, no pressure.
Book a 30-minute call with a senior ERP engineer. Bring your current system and the process that hurts most — that is enough to get somewhere useful.
Book a callTell us about your ERP project
Five short steps, about two minutes. You get a scoped, written response — not a brochure.
The shape of the business decides the shape of the ERP. Start here.
We work with what you already run.
Very few ERP projects start on empty ground. There is an accounting system somebody trusts, a CRM sales will not give up, a storefront that cannot go down, and at least one system whose original author left in 2009.
Where a modern API exists we use it. Where it does not — common with older industrial, financial, and warehouse systems — we integrate at the database, file-drop, or message-queue level, then wrap the whole thing in a documented internal API so the next system has something clean to connect to.
Nothing gets ripped out for the sake of tidiness. If a component is working, it stays.
ERP looks different in every sector.
Lot traceability matters to a food manufacturer and is noise to a services firm. We build against the constraints that are real in your industry.
Manufacturing
MRP, routings, shop-floor capture, scrap and yield, machine integration, and true per-unit cost rather than an averaged guess.
Enterprise builds →Distribution & wholesale
Multi-warehouse stock, landed cost, EDI trading partners, carrier integration, and pricing tiers that survive contact with real customers.
Commerce systems →Financial services
Audit trails, segregation of duties, reconciliation automation, and reporting that satisfies both the regulator and the board.
Finance software →Healthcare & life sciences
HIPAA-aware architecture, validated processes, lot and expiry traceability, and integrations with clinical and lab systems.
Healthcare software →Government & public sector
Procurement rules, fund accounting, Section 508 accessibility, and deployment into GovCloud or on-premises environments.
Government software →Construction & field service
Job costing against estimates, progress billing, change orders, dispatch, and mobile capture that works without signal.
Property & real estate →Agriculture & food
Grower and harvest tracking, lot genealogy, recall readiness, cold-chain records, and compliance reporting.
AgTech builds →Automotive & industrial
Supplier scheduling, EDI releases, serialised traceability, quality gates, and warranty tracking through the chain.
Automotive software →Growing SMBs
The stage where spreadsheets stop scaling but a full enterprise suite is overkill — a right-sized system that can grow into one.
Small business software →Six phases, and something in production early.
The single biggest predictor of an ERP project failing is betting everything on one switchover date. We deliberately structure the work so real value lands in the first quarter.
Discovery & process mapping
We sit with the people doing the work — not only the people sponsoring the project — and map what actually happens, including the exceptions. Then we quantify where the cost sits so scope is argued with numbers.
- Process map & pain inventory
- Build / buy / extend recommendation
- Phased scope with a cost range
Architecture & data model
Data model, module boundaries, integration contracts, and deployment target. We run integration spikes here — while there is still time to change the plan if that twenty-year-old system turns out to have no API.
- Data model & API contracts
- Integration spike results
- Fixed-fee proposal
Build, module by module
Two-week increments against a working environment you can log into throughout. The first module targets whichever process is costing the most, so value shows up before the system is complete.
- Working software every sprint
- Environment you can use
- Weekly written progress
Migration & rehearsal
Migration is engineered, not improvised: profiling, repeatable scripts, full dress rehearsals into staging, and reconciliation of counts and balances against the source system before anyone talks about a date.
- Data profiling & cleanup plan
- Rehearsed migration runs
- Reconciliation sign-off
Rollout & training
Phased go-live — by module, site, or entity — with parallel running where the risk warrants it. Training is built for the people who will use the system daily, with documentation that matches your process, not a generic manual.
- Phased cutover plan
- Role-based training
- Runbooks & rollback path
Support & extension
Monitoring and incident response, then the next modules. Systems change as the business does; the team that built yours stays available to change it.
- Monitoring & alerting
- Retained engineering capacity
- Roadmap for later modules
Why ERP projects fail, and what we do differently.
ERP failures are famous, expensive, and remarkably repetitive. The causes are not mysterious — which is precisely why they are avoidable if you plan against them from the beginning rather than discovering them in month nine.
Every one of the failure modes on the right maps to a specific decision we make in the first two phases. That is the whole argument for spending real time on architecture and test coverage before writing production code.
Scope is argued from measured process cost, not from a wish list.
Migration engineering starts in phase two and is rehearsed repeatedly.
The people doing the work are in discovery, and in every sprint review.
Phased releases by module, site, or entity — with parallel running.
Integration spikes run early, before the plan is fixed.
The reporting layer is designed with the data model, not after it.
Four ways to start, at four sizes of commitment.
Every engagement is scoped before it is priced. A discovery engagement turns any of these into a fixed fee, quoted in writing before work starts.
ERP audit
A senior engineer maps your systems and processes and hands back a written recommendation: build, buy, or extend, with a phased scope and a cost range.
- Process & systems map
- Build/buy/extend call
- Phased scope + range
Module or integration
One high-value module, or the integration work that stops your teams re-keying data between systems that will not talk to each other.
- One module or integration set
- Deployed to production
- Documented + handed over
Custom ERP build
A multi-module system built to your operating model, delivered in phases so the first module reaches production inside a quarter.
- Multi-module system
- Migration engineering
- Phased rollout + training
Retained team
A standing allocation of senior engineers who already know your system — for continuous module development, integrations, and support.
- Named senior engineers
- Support + new modules
- No re-onboarding cost
Want a number specific to your project? The software development cost calculator gives a credible range in about a minute. If you would rather add capacity to a team you already have, look at dedicated teams or staff augmentation instead.
A custom ERP is the best place to put AI.
Commercial ERP vendors are all shipping AI features. Most are locked to the vendor’s data model and priced per seat. When you own the system, you can put intelligence exactly where the process is expensive — and measure whether it worked.
The applications that pay for themselves fastest are unglamorous: document intake that reads invoices and purchase orders instead of a person keying them, forecasting built on your own transaction history rather than an industry average, anomaly detection across financial and inventory records, and natural-language querying so a plant manager can ask a question without filing a report request.
We scope AI features against process cost, not novelty. If a rules engine solves it, we build a rules engine — it is cheaper to run and easier to audit.
Document intelligence
Invoices, POs, packing slips, and remittances read and posted automatically, with confidence thresholds and human review where it matters.
Learn more →Workflow automation
Approvals, exception routing, and reconciliation handled by the system, escalating to a person only when the rules run out.
Learn more →Internal AI tools
Natural-language querying over your own operational data, so managers stop queuing for the reporting team.
Learn more →Forecasting on your data
Demand, inventory, and cash forecasting trained on your transaction history — not a generic industry model.
Learn more →Mainstream, documented, and staffable.
We pick the stack to fit the operational reality. What never changes is that it has to be something another team could pick up — you should never be locked into technology only your original vendor understands.
Considering an open-source ERP?
ERPNext, Odoo, Dolibarr, and their peers can be an excellent middle path — no per-seat licensing, full source access, and a real module ecosystem. They also carry genuine costs: implementation, hosting, upgrade discipline, and the fact that “free” software still needs engineers.
We maintain a set of guides covering the major open-source ERP systems — modules, licensing, and what implementation actually involves.
Browse open-source ERP guides- Open source — standard processes, tight budget, in-house technical capacity.
- Extend your platform — the core works, a few workflows do not.
- Custom build — the operating model is the advantage, or licensing has broken.
- Integration only — the systems are right, they just do not talk.
ERP development, answered.
The questions we get asked most, answered the way we would answer them on a call.
What are ERP development services?
ERP development services cover the design, engineering, integration, and ongoing support of enterprise resource planning software — the system that unifies finance, inventory, manufacturing, procurement, orders, and reporting into one source of truth. In practice that spans four distinct kinds of work: building a custom ERP from scratch, developing new modules on top of a platform you already run, migrating off a legacy or end-of-life system, and integrating an ERP with the other software in your stack. Most engagements are a blend rather than a single one, and the first job of a good partner is telling you honestly which of those you actually need.
How much does custom ERP development cost?
It depends on scope, and every project is quoted as a fixed fee after discovery rather than from a rate card. A focused single-module build or integration is the smallest commitment; a multi-module ERP covering finance, inventory, and operations is a larger, phased one; replatforms for multi-entity or multi-site organizations are larger again. The variables that move the number most are the count of modules, how many external systems have to be integrated, how clean your existing data is, and whether you need audit or regulatory controls. Our software cost calculator gives you a credible range in about a minute, and a discovery engagement converts that range into a fixed-fee proposal.
How long does an ERP implementation take?
A single module or a targeted integration is usually 8 to 16 weeks. A multi-module custom ERP for a mid-market company is typically 6 to 12 months to a first production rollout, with additional modules phased in afterwards. Enterprise-wide replatforms across several entities can run 12 to 24 months. We deliberately structure work so something real reaches production within the first quarter — a phased rollout de-risks the project and gets people using the system while later modules are still being built, rather than betting everything on a single switchover date.
Should we build a custom ERP or buy an off-the-shelf one?
Buy when your processes are genuinely standard and you are willing to change how you work to match the software — that is the cheaper and faster path, and we will tell you when it is the right one. Build when your operating model is the competitive advantage, when the licensing math stops working at your seat count, when the product cannot be customized far enough, or when you are stitching together several disconnected systems that will never share a data model. There is also a middle path that suits many companies: keep the off-the-shelf core for accounting and build custom modules and integrations around it for the parts that are actually specific to you.
Can you build on top of the ERP we already have?
Yes, and it is one of the most common engagements we take on. We build custom modules, workflow automation, reporting layers, portals, and integrations that extend NetSuite, SAP, Microsoft Dynamics, Odoo, Acumatica, Sage, and Epicor — as well as homegrown systems. Extending a working platform is usually far cheaper and less risky than replacing it, so we start by asking whether the pain you are feeling can be solved with an extension before proposing anything larger.
How do you migrate data from our legacy system?
Data migration is where most ERP projects quietly go wrong, so we treat it as an engineering workstream rather than a final-week task. We start with a profiling pass over your existing data to surface duplicates, orphaned records, inconsistent units, and fields that have been repurposed over the years. Then we build repeatable, version-controlled migration scripts — not one-off manual exports — so a migration can be rehearsed as many times as needed. We run full dress rehearsals into a staging environment, reconcile record counts and financial balances against the source, and only then schedule the production cutover, with a documented rollback path.
Will our new ERP integrate with our existing software?
That is normally the point. We build integrations to accounting systems, CRMs, eCommerce storefronts, EDI trading partners, shipping and 3PL providers, payment processors, payroll and HRIS platforms, tax services, BI tools, and shop-floor equipment over MES, SCADA, or IoT protocols. Where a modern API exists we use it; where one does not — which is common with older industrial and financial systems — we build against the database, flat-file drops, or message queues, and wrap the whole thing in a documented internal API so future systems have something clean to connect to.
Why do so many ERP projects fail?
The recurring causes are consistent and largely avoidable. Scope is defined by a committee rather than by the processes that actually cost money. Data migration is treated as an afterthought. The people who use the system daily are not consulted until training. The project is structured as one enormous switchover instead of phased releases. And integrations are assumed to be simple until someone discovers the twenty-year-old system with no API. We plan against each of these explicitly: a discovery phase that maps real processes, migration engineering from week one, phased production releases, and integration spikes done early — while there is still time to change the plan.
Who owns the code and the data?
You do, completely and without qualification. The source code, the repositories, the infrastructure accounts, and the data are all yours, and everything is deployed to accounts you control. There is no license fee to keep using what we build, no per-seat charge as you grow, and no dependency on us continuing to hold the contract. We hand over documented code, architecture notes, and runbooks so your internal team or any other firm can pick it up.
Do you provide ongoing ERP support after launch?
Yes. An ERP is not a project that finishes — it changes as the business changes. We offer ongoing support and development retainers covering monitoring and incident response, new modules and features, integration maintenance as third-party APIs change, performance tuning as data volumes grow, and security patching. Many clients keep a fractional engineering allocation on retainer so there is a team already familiar with the system when something needs to move quickly.
Can AI be built into a custom ERP?
Yes, and a custom ERP is a far better place to put it than a locked-down commercial product, because you control both the data model and the interface. The applications that pay for themselves fastest are demand and inventory forecasting from your own transaction history, automated document intake that reads invoices and purchase orders instead of having staff key them in, anomaly detection across financial and inventory records, natural-language querying so managers can ask questions of the data directly, and agents that handle routine approvals and exception routing. We scope AI features against measurable process cost, not novelty.
What technology stack do you build ERP systems on?
We choose the stack to fit the operational reality rather than defaulting to one. Backends are typically Python, Node.js, Java, or .NET; frontends are usually React or Next.js; data sits in PostgreSQL or SQL Server with a warehouse layer for analytics when the reporting load justifies it. Deployment is containerized on AWS or Azure, or on-premises where regulation or shop-floor latency demands it. What matters more than the specific choice is that it is mainstream, well-documented, and staffable — you should never be locked into a stack only your original vendor understands.
Do you work with companies that have no in-house technical team?
Frequently. A large share of our ERP clients are manufacturers, distributors, and service businesses whose technical staff is one IT manager or an outsourced MSP. In those engagements we take on the architecture and technical decision-making, translate between operational staff and engineering, and produce documentation and training aimed at the people who will actually run the system. We can also provide dedicated teams or staff augmentation if you want to build internal capability alongside the project.
What happens on the first call?
It is a working conversation with a senior engineer, not a sales pitch. We walk through your current systems, the processes causing the most pain, what has already been tried, and any hard constraints like deadlines, budget, or compliance obligations. You leave with an honest read on whether custom development is the right answer — including the cases where it is not — and a rough shape for scope, sequencing, and cost. If you submit the project brief on this page first, we come to that call having already read it.
Still deciding? The custom software development guide on our blog covers the broader build process, and how to solve legacy system problems is the closest companion piece to an ERP replacement.
Your ERP should not be the reason things are hard.
Tell us what you run today and which process is costing the most. You will get an honest read on whether custom ERP development is the right answer — including when it is not.