Straight answers, before the first call.

Mostly two kinds: Fortune 500 enterprises modernizing systems that can't afford downtime, and high-growth technology companies building the SaaS platforms behind their next stage of growth. Most are in North America.

We have dedicated delivery playbooks for twelve industries, including healthcare, banking, insurance, government, and energy.

Yes. Our engineering practice delivers projects across SaaS product engineering, enterprise software, cloud, system integration, and AI.

Our talent solutions practice provides staff augmentation, contract staffing, direct hire, RPO, MSP/VMS staffing, and dedicated remote teams. Many clients use both.

Yes, and most engagements work this way. We extend your team through staff augmentation or a managed pod that works alongside your engineers, follows your rituals, and uses your tools.

Senior people. The architects and engineers who scope your project are the ones who build it, so there is no handoff from a sales team to an unfamiliar delivery team. Every engineer, architect, and consultant we place is senior-vetted.

With a 30-minute discovery call about your systems, your constraints, and what you're trying to solve. If we're a good fit, we run a scoped discovery phase before committing to a full build.

You can book a discovery call, or request a proposal if you already know the scope.

Discovery usually takes two to four weeks. At the end of it you get a phased roadmap with the full timeline, which depends on scope.

For talent engagements, timing depends on the role and seniority. We'll give you a realistic estimate when we scope the request.

It depends on the engagement model. Project work is scoped and priced phase by phase. Talent services are priced by engagement type, such as augmentation, contract, or direct hire.

We give specific pricing in a proposal, built around your scope, rather than from a generic rate card.

We prefer to scope work in phases small enough to course-correct, rather than one fixed-price bet on a twelve-month plan. Each phase has clear deliverables and a price, so you keep control of budget and direction.

All three. Discovery and well-defined phases are usually fixed-scope; evolving product work suits time-and-materials or managed capacity. We recommend the model in the proposal.

Yes. A scoped discovery or a single pod for a defined period lets you see how we work before committing to more.

Four stages: discover, architect, build, and scale. Cross-functional pods build in two-week increments and integrate with your existing CRM, ERP, and data platforms as they go. After launch we stay involved to monitor performance, harden security, and evolve the platform.

We provide delivery coverage across North American time zones, with teams in the United States, Canada, and India. Teams are built around real working-hour overlap with yours, not just time-zone tolerance.

Yes, that's a design goal. Documentation, test coverage, and a clean handover are part of every deliverable, so your own team can run and extend the system after we step back.

We treat security and compliance as architecture inputs from the start, not a checklist at the end. Learn more on our cyber security page and the relevant industry pages.

Yes. We're happy to sign a mutual NDA before you share anything confidential. Until one is in place, please keep sensitive details out of our website forms.

Data we access in your systems is processed only on your instructions, under the Master Services Agreement and a Data Processing Agreement. Our Privacy Policy covers information collected through this website.

Yes. We have delivery playbooks for healthcare, banking and insurance, and design for HIPAA-aware and financial-services requirements from the start.

Where you require it, yes. Engineers can work on client-issued devices, through your VPN and identity provider, under your access policies.

Staff augmentation adds engineers to your team under your direction. Contract staffing covers defined periods. Direct hire finds permanent employees. RPO runs all or part of your recruiting. MSP & VMS staffing plugs into your vendor program.

Not sure? We'll recommend a model on the discovery call.

Yes. You can start with one senior engineer and grow to a full delivery pod. The model flexes to what you need rather than locking you into one engagement type.

Yes. We support MSP and VMS programs and can submit candidates through your existing platform and processes. See MSP & VMS staffing.

Our primary focus is North America. If your organization has a North American presence, our global delivery model may still be a good fit. Contact us to talk it through.

Yes. Contract-to-hire is available, with conversion terms agreed up front. See our guide to choosing a hiring model.

Yes. We place across software engineering, cloud and DevOps, data engineering, AI and ML, QA automation and cyber security.

Browse open roles and apply to the one that fits. We read every application. The process has five steps: application, recruiter screen, technical interview, team and culture fit, and offer.

We're remote-first. Some roles are hybrid, in Toronto, Dallas, or New York, and others are based in Bengaluru or Noida. Each job posting lists its location.

No. We send your profile to a client only after we've described the role and you've agreed to be submitted for it. Our Privacy Policy explains how we handle candidate data.

Never. We don't charge to apply, interview, or be placed, and genuine Webneuron recruiters use @webneuron.com email addresses. If anyone asks you for money in our name, it's a scam. Please report it to careers@webneuron.com.

Production systems. We scope AI work around the data, evaluation, monitoring and support a feature needs after launch, not just the demo. See AI Solutions and our essay on why AI pilots stall.

We test three things first: whether the data exists and is trustworthy, whether success can be measured, and whether someone will own the feature after launch. Use cases that fail any of those go back to the backlog. Our AI use-case framework explains the approach.

Yes, where clients allow it and within their security and IP policies. We pair AI tools with written specifications, code review and automated tests, so speed does not come at the cost of quality. See spec-driven development.

Yes. We work on AWS, Azure and Google Cloud, and alongside the data platforms and model providers you already use. We recommend new tools only when the current ones cannot do the job.

We treat governance as part of the design: data access controls, human review where decisions affect people, audit logs and documented model limits. Your compliance team reviews the design before build.

A dedicated remote team works only on your product, follows your rituals and tools, and is managed day-to-day with you. Outsourcing usually hands over a scope to a vendor's process. See our global delivery model.

We build teams for real overlap, typically three to four shared hours with North American time zones, adjusted to how often your teams need to collaborate live.

One delivery standard for every location: the same architects, review practices, definitions of done and reporting. Senior people lead each pod regardless of where it sits.

Through live, conversational technical interviews led by senior engineers, focused on real systems the candidate has built. We look for depth and judgment, not memorized answers.

It depends on role and seniority. For common senior engineering profiles, often within days; for niche skills, we will give you a realistic estimate when we scope the role.

Salesforce, SAP, Oracle and Microsoft Dynamics, plus legacy core systems and custom applications. See our system integration solutions.

We recommend an integration layer once more than two systems or a handful of flows are involved, and work with platforms such as MuleSoft, Boomi, SAP Integration Suite and Azure Integration Services. Our Salesforce–SAP guide covers the decision.

Yes, and it is usually how we prefer to work. We move capability out of the legacy system in slices behind an API layer. Our core banking case study shows the approach.

Your team, us, or both. Every integration ships with monitoring, a run book and a named owner, and we offer managed services if you want us to run it.