Help & Support

Open Start a Project, tell us the problem in plain language, and send the brief. We reply from business@nexove.in. We do not run a ticket farm or a chatbot that pretends to be the company — a human reads what you send.

Discovery is short and concrete: who the users are, what must exist on day one, constraints (stack, compliance, timeline), and what success looks like. We map the system before we burn weeks on UI chrome. If the problem is unclear, we say so early.

Labs is the engineering division behind NEXOVE — not a freelance marketplace. We design and ship software as systems: product surface, data, delivery, and operations. You get working software and a clear engineering trail, not a slide deck pretending to be a roadmap.

Products, platforms, web and native applications, infrastructure, interactive systems, and agentic AI — any stack that fits the problem. We start from what you need to run, not from a fixed menu of packages.

Yes. We build product software people return to: identity, tenancy, billing hooks where needed, admin surfaces, and delivery you can operate. Suite apps under NEXOVE One and independent products on this site are the same class of work we do for clients.

Yes — dashboards, customer portals, internal tools, and public product surfaces. We pick the stack for the job (often React/TypeScript and a clear API boundary) and keep the UI honest: empty states, permissions, and URLs that belong to your product.

Yes. Platforms mean shared identity, multiple surfaces, and infrastructure that can grow. Marketing pages are fine when they serve the product; they are not a substitute for the system underneath.

Yes — native or cross-platform when that is the right trade-off. We care about the same things as on web: identity, offline edges, release pipelines, and a product that does not feel like a wrapped brochure.

When one codebase clearly serves both platforms without fighting the OS. If you need deep platform APIs, performance budgets, or store-specific UX, we go native or hybrid with eyes open. The recommendation is a trade-off memo, not a slogan.

Yes — Electron, Tauri, or native desktop when the workflow belongs on a machine, not only in a browser. Valentine and Scriptora on our product map are examples of desktop-class surfaces we build and operate.

Boundaries first: what owns identity, data, and delivery. We avoid mystery monoliths and avoid microservices theatre. You get a diagram you can defend and an environment that can be rolled back.

We can own deploy pipelines, environments, and operational basics, or plug into your cloud. Hostnames that resolve, previews, and a path to production are part of the engineering job — not an afterthought handoff.

Yes. HTTP APIs, auth, storage, jobs, and the glue between clients. The public Labs site itself is mostly static; product work routinely includes a real API when the problem needs one.

We size for the load you actually have and the load you can prove is coming. Caching, queues, observability, and tenancy isolation show up when the product needs them — not as buzzwords on week one.

Yes — models, gateways, evals, and product UX that makes the model useful. We treat AI as a capability inside a real system (permissions, logs, failure modes), not a demo chat bolted on the side.

Yes. Agents with a job description, tools, and guardrails — sitting inside products people already use. Intelligence and our internal tooling culture are the same idea: presence and action, not a slideshow about “AI strategy.”

Yes — approvals, ingest, notifications, and handoffs between systems. Automation should reduce toil without hiding ownership. We document what the agent or job is allowed to do.

Yes — from surface to model path to deploy. Let Me Generate and Intelligence on our map are AI-shaped products we engineer as products, not experiments left in a notebook.

Yes. Interface, empty states, and hierarchy are engineering problems. We design in the same system we ship — not a parallel agency deck that never reaches production.

Yes — when motion and interaction serve the story. Our own public site uses WebGL on the home hero; client and venture work has included WebGL band and brand surfaces. Spectacle without a product job is not the goal.

Yes — Three.js / WebGL2 stages, product viz, and brand worlds when 3D is the right medium. Performance budgets and reduced-motion respect are part of the brief.

Interfaces and systems where design and engineering are one build: generative studios, spatial stages, real-time visuals, and product chrome that has to feel alive. Creative without a ship path is not Labs work.

Cost follows scope. We price after we understand the problem, constraints, and what must ship first. We do not publish fake package prices on this site. Start a Project with a real brief and we respond with a clear commercial next step.

Timeline depends on discovery outcomes: MVP vs full platform, integrations, and who owns content and approvals. We give dates against milestones, not vibes. If a date is fantasy, we say so before kickoff.

We break work into visible slices you can review — environments, vertical slices, and shippable increments. You should always know what is done, what is next, and what is blocked.

Yes when that is part of the engagement — fixes, small iterations, and operational care. Post-launch support is scoped like any other engineering work: clear ownership, not an open-ended “retainer fog.”