Fulminous Software builds enterprise-grade apps for funded startups — Seed-extension through Series C — that have product-market fit and an MVP that can no longer carry the load. We re-architect what you have, or rebuild it properly: multi-tenant, SOC 2-ready, integrated with your ERP, CRM and data stack, and staffed by a dedicated US-hours squad. Most engagements start within 10 working days.
Your MVP was built to prove the idea. After a round, the job changes: enterprise buyers run security reviews, your board wants uptime and unit economics, and the codebase that got you funded starts costing you deals. That is the exact point we are hired at. Our enterprise app development services for funded startups cover the whole span of that transition — the architecture assessment, the rebuild or the staged re-architecture, the compliance engineering, the zero-downtime migration of your live customers, and the squad that keeps shipping your roadmap while all of it happens.
A funded startup reaches a specific moment when the MVP stops being an asset and starts being a liability—usually between the Series A close and the first enterprise pilot. Signups outpace the database. A prospect's security questionnaire asks for SOC 2 evidence you don't have. Two engineers hold the entire system in their heads. We are an enterprise app development company for funded startups working precisely in that window — across retail, FinTech, HealthTech, B2B SaaS, logistics, and digital manufacturing. If you are still pre-funding and validating an idea, our MVP app development for startups service is the right starting point instead — this page is deliberately not for that stage, and the two engagements are priced, staffed, and run very differently.
The distinction matters more than it sounds. An MVP is optimised for learning quickly and being thrown away cheaply. Enterprise app development for funded startups is optimised for the opposite: for customers who cannot tolerate downtime, for security teams who will read your architecture before signing, and for a codebase that a team of fifteen engineers will still be extending three years from now. Applying the first set of trade-offs to the second problem is the single most expensive engineering mistake we see at Series A.
Years
of Delivery Experience
Certified Engineers
and Architects on Board
To Squad
Kick-off
Client
Satisfaction
Person-Years
on Our Largest Build
If three or more of these are true, you are not looking at a feature backlog. You are looking at a re-platform.
Enterprise prospects send a 180-question security questionnaire and your team stalls on encryption at rest, audit logs, SSO and data residency. The deal goes quiet.
The app was built for one tenant. Each new logo means a fork, a branch or a hard-coded config — so headcount grows linearly with revenue and gross margin never improves.
Cloud bills climb faster than active users because the MVP polls where it should queue, queries where it should cache, and runs one oversized instance instead of scaling horizontally.
No documented architecture, no tests worth running, no runbook. Onboarding an engineer takes six weeks and one resignation becomes an existential risk your board now asks about.
Deploys happen on Friday night because they need a human to watch them. No CI/CD, no staging parity, no rollback. Velocity drops exactly when the board expects it to rise.
No observability, no event history, no product analytics your CEO trusts. Incidents get diagnosed by guesswork and your next fundraise needs numbers nobody can produce cleanly.
We start with a two-week paid architecture and risk assessment: code review, infrastructure audit, security gap analysis against SOC 2 controls, and a costed remediation plan. You leave that engagement with a decision you can defend to your board — harden, re-architect in place, or rebuild — whether or not you continue with us.
"Enterprise-grade" gets used loosely by every agency in this market, so here is exactly what we mean by it. These are the eleven concrete engineering differences between the app that got you funded and the app that will carry you to your next round. Every enterprise app development engagement we run for funded startups is scoped against this list — it is the checklist your CTO can argue with us about line by line.
| Dimension | What your MVP most likely does today | What enterprise-grade means after funding |
|---|---|---|
| Tenancy | One shared database, customer identity mixed into application logic, per-client branches or config flags. | True multi-tenancy with enforced row- or schema-level isolation, per-tenant configuration, and onboarding that is a form submission rather than an engineering ticket. |
| Authentication | Email and password, maybe a social login, roles hard-coded as booleans on the user record. | SSO and SAML, SCIM provisioning and de-provisioning, MFA, session policy, and a role and permission model your customers' IT admins can administer themselves. |
| Data model | Grown organically, wide tables, nullable columns nobody can explain, business rules living in three places. | A deliberate domain model with documented invariants, referential integrity, and migrations that are reviewed, reversible, and tested against production-shaped data. |
| Security | HTTPS and a hope. Secrets in environment files, no audit trail, no answer to "who changed this record". | Encryption in transit and at rest, managed secrets with rotation, least-privilege access, and immutable audit logging across every service — the evidence a SOC 2 auditor asks for. |
| Integrations | Two bespoke scripts, a nightly CSV, and a webhook somebody wrote once and nobody has touched since. | A dedicated integration layer with retries, idempotency, dead-letter handling, and observability — plus a documented public API your customers' own developers can build against. |
| Deployment | Manual, watched by a human, usually late in the evening, with no rollback beyond restoring a backup. | CI/CD with staging parity, automated tests as a release gate, blue-green or canary deploys, feature flags, and a rollback that takes one command and under a minute. |
| Scalability | One oversized instance, synchronous work in the request path, polling loops, and a database doing everything. | Horizontal scaling, queues and workers for anything slow, caching at the right layers, read replicas, and a load test run against your actual twelve-month growth plan. |
| Observability | Server logs, and whatever your team can reconstruct after the fact when a customer complains. | Structured logging, distributed tracing, metrics, and alerting tied to an on-call rota, so incidents are diagnosed from evidence in minutes rather than guessed at for hours. |
| Testing | A handful of tests written early, now skipped or commented out because they break on every change. | A maintained suite at an agreed coverage threshold, contract tests on integration boundaries, and automated regression runs that make a Tuesday afternoon deploy unremarkable. |
| Documentation | In two engineers' heads. Onboarding a new hire takes roughly six weeks of pairing. | Architecture decision records, runbooks, an environment setup that works on day one, and API documentation your own sales engineers can send to a prospect. |
| Cost profile | Cloud spend rising faster than active users, with nobody able to attribute a line item to a feature. | Tagged, attributable infrastructure spend with right-sized instances and autoscaling, so unit economics improve as you grow instead of quietly getting worse. |
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You do not need all eleven on day one. You need the three that are currently costing you deals, and a funded plan for the rest. That is what our two-week assessment produces.
Book A 30 Min Free CallTen services, each mapped to a problem that shows up in the first two quarters after a round closes. Most funded startups engage us on two or three of them rather than all ten — the assessment decides which. As an enterprise AI development company, we also carry the data and model work that most startup-focused shops scope out and hand back to you.
We take the codebase that got you funded and turn it into one that can be sold to enterprises: service boundaries drawn properly, a real data model, a queue where the polling loop was, and a test suite that lets you ship on a Tuesday afternoon.
Tenant isolation, per-tenant configuration, role and permission models, usage metering and self-serve provisioning — so your twentieth customer costs the same to onboard as your third, and gross margin finally moves the right way.
Native iOS and Android, or React Native and Flutter where one codebase genuinely serves you. Offline-first sync, background jobs, push infrastructure, MDM-friendly distribution and enterprise app-store deployment handled end to end.
The engineering half of SOC 2 Type II readiness, HIPAA-compliant builds and GDPR data residency: encryption, audit trails, access control, secrets management, logging and the evidence your auditor will actually ask for.
A ring-fenced team — architect, backend, frontend, mobile, QA, DevOps — working your board, your sprints and your US overlap hours. You keep the roadmap; we supply the capacity you cannot hire fast enough in-house.
Event tracking, a warehouse, and dashboards your CEO trusts in a board meeting — plus the clean cohort, retention and unit-economics numbers your next diligence process will demand line by line.
RAG over your own data, LLM-backed workflows, evaluation harnesses and cost guardrails — built so an AI feature is a defensible part of the product rather than a demo that breaks under real traffic.
Admin consoles, permissioned dashboards, bulk actions and an accessible component library — the unglamorous interface work that decides whether a 400-seat rollout succeeds or quietly churns at renewal.
Almost nobody publishes this, which is why every funded startup founder ends up on four discovery calls before getting a single number. These are indicative US-market ranges for our own enterprise app development engagements as of September 2026, organised by the round you have just closed. Scope, compliance burden, integration count, and migration risk move these numbers in both directions — we quote firm after the two-week discovery phase, never before it.
| Funding stage | What you typically need | Investment | Timeline | Typical squad |
|---|---|---|---|---|
| Seed / Seed extension | Hardening the MVP so it survives the next 12 months — performance fixes, test coverage, CI/CD, basic security controls. | $25,000 – $60,000 | 8 – 12 weeks | 3 – 4 engineers |
| Series A | Platform v2: re-architecture, multi-tenancy, SOC 2 readiness, SSO, first enterprise integrations, mobile app. | $60,000 – $150,000 | 3 – 5 months | 5 – 7 engineers |
| Series B | Multi-product platform, API programme, data warehouse and analytics, HIPAA or GDPR workstream, 99.9% SLA operations. | $150,000 – $400,000 | 6 – 12 months | 8 – 12 engineers |
| Series C and beyond | Parallel squads against a multi-quarter roadmap, regional data residency, migrations, M&A systems integration. | $400,000+ | 12 months+ | Multiple squads |
| Any stage — staff augmentation | Named engineers embedded in your existing team, your process, your repo, your standups. | $25 – $60 / hour or $9,000 – $28,000 per squad-month |
Rolling, 3-month minimum | 1 – 6 engineers |
| Any stage — architecture assessment | Two-week paid audit: code, infrastructure, security gaps against SOC 2, and a costed remediation plan you own. | Fixed fee — credited against the build if you proceed | 2 weeks | Architect + DevOps |
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For a funded startup selling upmarket, security review is the real gatekeeper — not the demo. We build the engineering evidence your buyer's InfoSec team and your next investor's technical diligence both ask for.
We deliver the engineering controls and evidence trail. Your auditor issues the report.
Four ways to buy our enterprise app development services, chosen by where your round actually left you — the size of the raise, how much runway it bought, whether you already have a technical leader in the building, and how firm the scope is. We will tell you which one fits, including when the honest answer is the cheapest of the four.
Two paid weeks. Code review, infrastructure audit, SOC 2 gap analysis, and a costed remediation plan you keep, whatever you decide next. The cleanest way to start when nobody agrees on how bad the MVP actually is.
A defined v2 with milestone pricing and a launch date you can put in front of your board. Best when the scope is genuinely known, and the deadline is a fundraise, a pilot, or a contractual commitment.
A ring-fenced cross-functional team on a rolling monthly retainer, working your roadmap in your tools with US overlap hours. Scale the squad up or down each quarter as runway and priorities move.
Named engineers embedded in your existing team — your repo, your standups, your definition of done. For when you have a strong in-house lead and simply cannot hire quickly enough at your stage.
No six-week discovery theatre before a line of code moves. Every enterprise app development engagement we run for funded startups follows the same shape: assess and stabilise, build the spine, then ship and prove. You should see working software in production inside the first month, and a plan you can take to your board by day thirty.
We are deliberately conservative here. A funded startup at Series A does not need the most interesting technology available — it needs technology its next ten engineering hires already know, that its auditors recognise, and that will still be maintained in five years. Everything below is chosen on that basis.
Node.js and NestJS, Python with Django or FastAPI, .NET, Java Spring Boot, Go for high-throughput services. REST and GraphQL, event-driven messaging with Kafka, RabbitMQ or SQS where a queue belongs in the design.
React and Next.js, Angular, Vue and Nuxt, TypeScript throughout, with a documented component library and design tokens so admin consoles and customer-facing screens stay consistent as the product surface grows.
Swift and Kotlin where native performance genuinely matters, React Native and Flutter where one codebase honestly serves both platforms. Offline-first storage, conflict-resolving sync, push infrastructure and MDM-friendly distribution.
PostgreSQL as the default, MySQL, MongoDB where the document model earns it, Redis for caching and sessions, Elasticsearch or OpenSearch for search, and Snowflake or BigQuery for the warehouse layer behind your board metrics.
AWS and Azure, infrastructure as code with Terraform, containers on ECS, EKS or AKS, GitHub Actions or GitLab CI, and observability through Datadog, Grafana, OpenTelemetry or CloudWatch with alerting wired to a real on-call rota.
LLM and RAG pipelines with evaluation harnesses and cost guardrails, vector stores, plus the integrations funded startups are always asked for: Salesforce, HubSpot, Stripe, Okta and Auth0, Twilio, SAP, NetSuite and HL7/FHIR.
If your existing MVP is built on something outside this list, that is not automatically a problem — part of the assessment is deciding honestly whether the stack is the constraint or simply the thing everyone is blaming.
Three recent enterprise app development projects for funded startups, drawn from US engagements at Series A and Series B. Client names are withheld under NDA; the scope and the outcomes are real.
A payments startup closed its Series A with a single-tenant Rails MVP and three enterprise pilots waiting on a security review. We re-architected to a multi-tenant service model, added SSO, immutable audit logging and encryption at rest, and rebuilt the deployment pipeline.
A care-coordination platform needed a patient-facing mobile app with PHI handled correctly and a bidirectional integration into two hospital EHR systems. We delivered a cross-platform app, a FHIR-based integration layer and full audit trails on every PHI access.
Drivers were losing captured data in low-coverage areas and dispatch had no live view. We built an offline-first mobile app with conflict-resolving sync, a real-time dispatch dashboard and an ERP integration replacing a nightly CSV job.
There are hundreds of firms offering enterprise app development services. Six of the reasons below matter specifically at Series A and beyond, where the cost of choosing the wrong engineering partner is a missed quarter and a difficult board meeting, not a missed sprint.
Eight sectors where we have already built enterprise apps for funded startups, which means we know the integrations you will be asked for, the regulator standing behind them, and the specific failure modes that catch teams out in the first enterprise rollout. Domain familiarity is what removes a discovery month from the timeline.
Ledgers that reconcile, KYC/AML flows, PCI-conscious payment architecture and the audit trails your banking partner will inspect before go-live.
HIPAA-compliant builds, HL7/FHIR and EHR integrations, telehealth, consent management and PHI audit coverage on every access.
Multi-tenancy, SSO/SCIM, usage metering, admin consoles and a public API — the platform work that unlocks upmarket pricing.
Offline-first field apps, route and fleet optimisation, real-time tracking and ERP sync that replaces the nightly CSV job.
Headless commerce platforms, inventory sync, loyalty and personalised mobile experiences that hold up on Black Friday traffic.
District and institution-wide rollouts, LMS and SIS integrations, SSO by roster, and accessibility standards procurement teams check.
Portfolio and tenant portals, document workflows, listing syndication and the reporting layer institutional investors ask for.
Two-sided matching, escrow and split payments, trust and safety tooling, and search that stays fast as supply multiplies.
Not sure whether you need a rebuild or a rescue? Start with the two-week assessment.
Book A 30 Min Free CallThey are app development services built for the stage after a funding round, when a startup has real customers but an MVP that cannot carry them. The work is different from early-stage development: multi-tenancy instead of single-tenant shortcuts, SOC 2 and HIPAA-grade security controls instead of basic auth, real integrations with CRM, ERP and SSO systems, observability, and infrastructure that scales horizontally. The deliverable is a platform that survives an enterprise security review and a board-level uptime conversation.
In our engagements a Series A platform v2 — re-architecture, multi-tenancy, SOC 2 readiness, SSO and the first enterprise integrations — typically runs $60,000 to $150,000 over three to five months with a squad of five to seven engineers. Seed-stage hardening is $25,000 to $60,000, and Series B platform work runs $150,000 to $400,000. Staff augmentation is $25 to $60 per hour. The full stage-by-stage table is above; we quote firm only after the two-week discovery.
Usually neither extreme. A full rewrite while you have paying customers is the highest-risk option available, and continuing to patch has a compounding cost. In most cases the right answer is a staged re-architecture: keep the running system, extract the parts that break first into properly designed services, migrate data behind a stable interface, and retire the old path once traffic has moved. Our two-week assessment exists specifically to make that call with evidence rather than opinion.
We deliver the engineering half: encryption in transit and at rest, role-based access control, immutable audit logging, secrets management, change management tied to your CI/CD, and the evidence trail an auditor will ask for. We are not an audit firm and do not issue the report — your auditor does, and the observation window is theirs to set. What we can compress is the engineering remediation, which is where most funded startups actually lose months.
Different stage, different engineering. If you are pre-funding or validating an idea, you want speed and the smallest thing that proves the hypothesis — that is our MVP app development and startup mobile app development work. This page is for the stage after: live customers, revenue at risk during migration, enterprise buyers running security reviews, and a board expecting predictable delivery. Building the second the way you build the first is one of the more expensive mistakes at Series A.
Most engagements kick off within 10 working days of a signed agreement. That covers the discovery call, the scoping session, squad assembly and access provisioning. If you need an architect on a specific problem sooner, we can usually place one inside a week for the assessment while the wider squad is being formed.
Yes, and it is planned as its own workstream rather than treated as a launch-day event. We run dual-write or read-through patterns behind a stable interface, migrate customers in cohorts starting with the lowest-risk accounts, keep a tested rollback at every step, and only retire the legacy path once traffic and data have fully moved. Migration windows, comms and support scripts are agreed with you in advance.
You own the code, the IP and the cloud accounts from day one — we work in your repositories, not ours. Documentation, architecture decision records and runbooks are written as part of delivery rather than at the end. When you build an in-house team, handover is a scheduled two-to-four week overlap, and many clients keep a smaller squad alongside their in-house engineers for specialist work such as mobile, DevOps or compliance.
Yes — US clients are a core part of our book. Squads working with US startups run a guaranteed daily overlap with your business hours covering standups, demos and incident response, with one accountable delivery lead as your single point of contact. Contracts, invoicing and IP assignment are structured for US clients, and we can operate under your MSA and NDA.
Tell us what your round has to deliver in the next four quarters, and we will tell you what it takes to build it.
Email us: info@fulminoussoftware.com
India: +91-935 141 8445
USA: +1 218 443 7661
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