Frequently asked questions

We start from outcomes and user journeys—interviews, workshops, and lightweight prototypes where helpful. Design systems and UI kits keep implementation efficient and on-brand across web and mobile.

Depends on surface area and validation needs: small marketing or internal tools may take weeks; multi-tenant products or regulated flows often span multiple iterations. We quote in milestones, not vague “months.”

We collaborate in Figma and similar tools, export assets for engineering, and document components so QA and dev stay aligned.

We build APIs and services with mainstream backend stacks (including PHP/Laravel, Node, .NET, Java) and modern front ends (React, Vue, and others). We match your hosting, CI, and compliance constraints rather than forcing a single vendor recipe.

Yes—REST/GraphQL integrations, webhooks, batch jobs, and SSO/SAML/OIDC are common. We document contracts, error handling, and operational runbooks for each integration.

Automated tests where they pay off, manual exploratory passes for critical flows, staged rollouts, and observability hooks (logging, metrics) so issues are traceable after go-live.

We deliver native iOS and Android where platform fidelity matters, and cross-platform approaches when time-to-market and shared codebases are the priority. We recommend based on UX, offline needs, and store policies.

Feature flags, phased rollouts, crash reporting, and store release checklists—aligned with your mobile device management or enterprise distribution model where applicable.

MVPs with a focused scope may ship in a few months; enterprise apps with integrations and hardening often take longer. We break work into releasable increments so you see progress continuously.

Yes, when grounded in your security and data-residency rules. We scope embeddings, vector stores, guardrails, evaluation, and human-in-the-loop review—not just a prototype chat box.

Data classification, minimisation, access controls, audit logs, and choice of cloud vs on-prem inference. We align with your legal and security stakeholders before training or fine-tuning.

Both—model lifecycle (versioning, monitoring, drift) when you own models, and robust API integration when you consume third-party AI services.

We offer dedicated squads, fixed-scope phases, and time-and-materials advisory. Details and examples are on client engagement; proposals spell out milestones, assumptions, and change control.

We work with distributed squads and overlap hours with your stakeholders. Stand-ups, steering reviews, and shared tools (issue trackers, wikis, chat) are agreed up front.

Hypercare, SLAs, backlog grooming, and roadmap planning—including support & maintenance options so releases stay safe over time.