Predictable Engineering Models. Zero Overhead.

Transparent milestone sprints, dedicated engineering pods, and custom enterprise squads tailored for high-growth startups and global companies.

Starter / MVP

Product Sprint MVP

Rapid fixed-scope delivery for launching an MVP or key product module in 3-4 weeks.

$2,800/ milestone sprint
What is Included:
  • ✓ Lead Engineer + Full-Stack Engineer
  • ✓ Figma UI/UX Design Prototype
  • ✓ Scalable Next.js 15 / React Native App
  • ✓ Cloud Deployment & CI/CD Pipeline
  • ✓ 15-Day Post-Launch Bug Warranty
  • ✓ 100% Code & IP Ownership Transfer
Start Product Sprint →
AI Architecture

Applied AI & Cloud

Custom AI architectures, private RAG pipelines, multi-agent workflows, and cloud migrations.

$12,500/ custom system
What is Included:
  • ✓ RAG & Private Vector Databases
  • ✓ Autonomous Agent Workflow Orchestration
  • ✓ Deterministic Guardrails & DSPy Tuning
  • ✓ Security & Compliance Readiness Review
  • ✓ Private AI Deployment Options
  • ✓ 30-Day Post-Launch Warranty & SLA
Build AI Architecture →
Enterprise Squad

Custom Enterprise

Tailored dedicated squads, mission-critical systems, on-prem deployments, and bespoke SLAs.

Customtailored SLA
What is Included:
  • ✓ Multi-disciplinary Squad (5+ Engineers & QA)
  • ✓ Priority Support with Agreed Response Times
  • ✓ On-Premise / VPC Air-Gapped Cloud Setup
  • ✓ Custom Information Security Compliance
  • ✓ Dedicated Delivery Manager & Architect
  • ✓ Bespoke Enterprise MSA & Bilateral NDA
Contact Enterprise Team →

Why Tech Leaders Partner With Zovintra

How our dedicated engineering pod compares against traditional alternatives.

Decision Factor
Zovintra Dedicated Pod
Traditional AgencyIn-House Hiring
Time to Start Coding✓ 48 - 72 Hours4 - 8 Weeks (SOW Negotiation)2 - 4 Months (Recruiting)
Engineering Seniority✓100% Senior Architects & LeadsJunior Staff / OutsourcedMixed Seniority / Ramp-up
Contract Flexibility✓ Monthly Rolling (No Lock-In)Rigid 6-12 Month SOWsHigh Overhead & Severance
Intellectual Property✓ 100% Client Ownership (Milestone)Complex Licensing Clauses100% Client Ownership
AI & Modern Stack Expertise✓Deep-Tech Multi-Agent & RAGSuperficial AI WrappersRequires Costly Specialist Hires
Code Quality & Warranty✓Automated CI/CD & 30-Day WarrantyManual QA / Extra ChargesInternal Reviews Dependent
100% On-Time Delivery

Milestone deadlines are legally backed by our transparent sprint delivery methodology.

Private Data & Security

Zero data leakage into public LLM training sets. Strict bilateral NDA protection.

30-Day Launch Warranty

Dedicated post-launch bug fixes and performance tuning included with every project.

Frequently Asked Questions

Yes, 100%. For our Starter Sprints, AI Systems, and Custom Engineering builds, the scope, timeline, deliverables, and technical architecture are agreed upon in writing before any coding begins.

Unlike traditional agencies that bill open-ended hourly rates and inflate invoices with scope creep, Zovintra operates on strict, milestone-based pricing. Every sprint has defined acceptance criteria. You will never receive unexpected billing surprises, hidden management fees, or unpredictable invoices. If an agreed feature requires additional iterations to satisfy the acceptance tests, we absorb the cost - not you.

You retain 100% full, exclusive ownership of all source code, database architectures, API schemas, UI/UX design assets, and cloud deployment pipelines created during the engagement.

Upon milestone payment completion, all intellectual property rights are automatically assigned to your company. We deploy code directly to your private GitHub/GitLab repositories and provision infrastructure inside your own cloud accounts (AWS, GCP, Vercel, Supabase). You are never locked into proprietary platforms, and you can hand off the codebase to internal developers at any time with full architectural documentation.

Yes. Zovintra Private Limited is a legally registered corporate entity in India (CIN: U62011RJ2026PTC113139). For Indian businesses and startups, we provide fully compliant B2B tax invoices with our GSTIN so your company can claim the full 18% Input Tax Credit (ITC) on all development expenses.

For our international clients across the US, UK, EU, UAE, Singapore, and Australia, invoices are generated in your local currency (USD, EUR, GBP, AUD) with zero-rated export status, wire transfer support (SWIFT / ACH), Stripe, and clear tax compliance documentation.

We can deploy a dedicated, senior engineering pod within 48 to 72 hours of contract execution and scoping approval.

Our engineers integrate directly into your workflow: we join your shared Slack/Discord channels, participate in daily standups, link with your Linear or Jira sprint boards, and ship code via pull requests for your review. Because we use standardized CI/CD pipelines, containerized environments, and pre-vetted full-stack specialists, we skip lengthy corporate recruitment lags and start delivering functional features in week one.

We design AI systems around strict data isolation, and we confirm each model provider's data-retention and training settings with you before launch.

Your documents and customer data should not be used to train public models. Where required, we deploy private, self-hosted vector databases (such as pgvector on PostgreSQL) in your own cloud account. LLM calls are validated against defined schemas, protected by role-based access control (RBAC), and encrypted in transit and at rest.

Each fixed-scope tier includes a post-launch bug-fix warranty: 15 days on the Product Sprint and 30 days on Applied AI & Cloud, as stated in your agreement.

After the warranty period, we offer maintenance retainers covering monitoring, security patching, third-party API updates and database backups, with response times agreed in writing.

Absolutely. Engineering flexibility is a core advantage of our partnership model. You can ramp up additional frontend, backend, AI, or mobile specialists during intensive release cycles, and scale back down during stabilization phases with just two weeks notice.

This eliminates the heavy overhead, severance liabilities, and hiring friction of maintaining a large in-house team during fluctuating product development cycles.