Product MVP Sprint
Fixed-phase build — idea to a launchable slice ready for users.
- Validated architecture & UX
- Production-ready first release
- AI hooks where they add leverage
- Live observability from day one
A delivery process built for clarity and trust.
We plan with you, build in short iterations, and deliver in clear milestones — so you always know what's in progress, what comes next, and when the work is done.
- Planned with you
- Short iterations
- Clear milestones
- Full transparency
- 6
- Delivery phases
- 2–4
- Week sprints
- 100%
- Visible progress
Available for new projects Replies in ~24h No black boxes
Delivery pipeline
Phase 3 / 6Discovery
Completed
01Design
Completed
02Build
In progress
03Verify
Upcoming
04Ship
Upcoming
05Operate
Upcoming
06
Sprint cadence2–4 weeks
Demoable increment at the end of every sprint.
You always know where the project stands — and what comes next.
6Delivery phases
2–4Week sprints
100%Visible progress
24hResponse time
The difference
Most projects fail on process, not code
Software rarely breaks from bad engineering — it breaks from unclear scope, hidden progress, and surprises at the end. Toggle to see the difference.
The Exarth way
Predictable, visible, and on time
Scope
Aligned on goals & metrics upfront
Progress
Visible in weekly demos & staging
Releases
Demoable increments every sprint
Quality
Quality gates at every phase
Reporting
Proactive, transparent reporting
Change
Absorbed through the backlog
Our work process
How we deliver, end to end
01/ 05
Phase 01 · Discovery01 / Discovery · Plan
Planning and requirements, done with you.
We clarify goals, gather requirements, assess feasibility, and define a roadmap before engineering begins — so scope, risks, and trade-offs are visible early, not discovered mid-build.
Stakeholder workshopsFeasibility studyProduct roadmap
- You get
- Roadmap & timeline
- Cadence
- Workshops + notes
- Output
- Agreed priorities
Phase 02 · Architecture02 / Architecture · Design
A blueprint your team can build against.
We turn requirements into a scalable architecture and a clear product design — system layout, data model, integrations, and UX specs tied to acceptance criteria your team can verify against.
System architectureData modelingUX wireframes
- Covers
- Architecture + UX
- Principle
- Traceable decisions
- Deliverable
- Review-ready specs
Phase 03 · Build03 / Engineering · Build
Short sprints, visible progress, clean delivery.
Agile delivery in time-boxed sprints with version control, code review, CI/CD on every merge, and demos — so you see working software often, not only at the very end of the project.
Agile sprintsCode reviewCI/CD pipelines
- Practice
- 1–2 week sprints
- Quality
- Reviews + CI/CD
- Visibility
- Demos & status
Phase 04 · Release04 / Release · Ship
Go-live with rollback and monitoring in place.
We ship with a deliberate release plan: pre-flight checks, minimal downtime, documented rollback paths, and live monitoring from day one — so launch day is calm and controlled.
Staging & sign-offZero-downtime deployRollback plan
- Readiness
- Staging + sign-off
- Safety
- Rollback paths
- Ops
- Live monitoring
Phase 05 · Operate05 / Operate · Maintain
Ownership after launch — not a handoff and disappear.
Continuous improvement: security updates, bug fixes, performance work, and roadmap-driven releases — with clear support windows and a single point of contact who knows your product.
Monitoring & SLAsSecurity patchesFeature roadmap
- Care
- Patches & upgrades
- Planning
- Feature slots
- Clarity
- Agreed SLAs
How we deliver
Six phases, from plan to production
A traceable journey with transparent checkpoints, clear ownership, and engineering discipline at every step.
01 · Discovery · Plan
Planning & Requirement Analysis
We clarify goals, gather requirements, assess feasibility, and define a roadmap before engineering begins — so scope, risks, and trade-offs are visible early.
- Requirements
- Feasibility
- Roadmap
What you walk away with
- Clear scope & priorities
- A realistic timeline
- Risks surfaced early
Phase 01 of 06 · transparent checkpoint at every step
Pricing & engagement
Choose your engagement model
Same SDLC quality — different commercial entry points. Pick the model that fits your roadmap, then we shape a written proposal with clear milestones, ownership, and cost.
AI System Build
Custom intelligence inside your product — deployed to your cloud.
- Models, retrieval, agents, evals
- Guardrails, telemetry & cost controls
- Deployment to your cloud
- 12-month iteration framework
Dedicated Engineering Team
Embedded squad that runs like part of your org.
- Full-stack, AI, mobile & DevOps
- Time-zone aligned to your team
- Owned roadmap delivery
- Quarterly architecture reviews
Cloud & Infrastructure
Harden foundations — security, CI/CD, and cost visibility baked in.
- Cloud architecture & migration
- CI/CD, IaC, secrets & identity
- SRE-grade observability
- Cost & capacity optimization
FAQ
Your questions, straight answers.
Plain-English answers on scope, timelines, engagement models, and how we work — from first call through launch and beyond.
5Key questions
60+Clients served
8+Years building
Can't find your answer?
Our team responds within 24 hours — no bots, no scripts.
5.0
60+ clients trust Exarth
Free consultationNo lock-in contractsReply in 24 h
5 most-asked questions
We move through six phases — discovery, design, build, verify, ship and operate. Each has a defined start, finish and deliverable, so you always know where the project stands.
Most teams run 2–4 week sprints with a demoable increment at the end of each. You see working software early and often, not a big reveal at the finish line.
You get demos, a live staging environment, and transparent reporting on progress, scope and risks. There are no black boxes — what's in progress and what's next is always clear.
Testing, security checks and performance validation run at every phase — with code review and CI/CD quality gates at every merge, not a rushed QA pass at the end.
Yes. The iterative model is built for change — we re-prioritise the backlog with you each sprint so new learnings shape the product without derailing delivery.