8-WEEK PRODUCTION TRANSITION

We Bridge the Gap Between Prototype and Production

Your Replit app got 500 upvotes. Your Loveable prototype wowed the investors. Your Cursor-built MVP landed the first 50 users. Now what? We take what you've built and make it production-ready — infrastructure, security, testing, monitoring, and all.4.9/5 ★ on Clutch based on 111+ Enterprise Reviews

550+ Engagements Since 2006 — Trusted By

Darden
SKF
Thyrocare
WeWork
goosehead insurance
Blissclub
OliveGarden
MetroGhar
chant
soccerverse
ICICI
kingsley Gate
Coin up
Atsign
Darden
SKF
Thyrocare
WeWork
goosehead insurance
Blissclub
OliveGarden
MetroGhar
chant
soccerverse
ICICI
kingsley Gate
Coin up
Atsign
Darden
SKF
Thyrocare
WeWork
goosehead insurance
Blissclub
OliveGarden
MetroGhar
chant
soccerverse
ICICI
kingsley Gate
Coin up
Atsign

THE PRODUCTION GAP

The Distance Between It Works and It Ships

Every prototype has a hidden iceberg of production requirements beneath the surface. Here is what most founders discover too late—and what we solve from day one.

Your Prototype

Production-Ready

Works on localhost

Works on AWS/GCP with auto-scaling, CDN, and failover

No authentication or basic auth

OAuth 2.0, JWT, RBAC, session management, MFA

console.log debugging

Structured logging, APM, error tracking, alerting

No tests

Unit, integration, E2E, load testing, security scanning

Manual deployment via CLI

CI/CD pipelines, blue-green deploys, and rollback capability

SQLite or in-memory data

Managed databases, migrations, backups, and replication

No rate limiting

Rate limiting, DDoS protection, WAF, CSP headers

Single environment

Dev, staging, production environments with parity

WHERE PROTOTYPES FAIL

Where Prototypes Typically Break

Production issues usually appear when products encounter real-world scale, security requirements, or team growth.

Traffic Growth

Prototypes often support limited concurrent users. Product launches or marketing campaigns can introduce thousands of users within hours. Without scaling infrastructure, applications fail during the first traffic spike.

Security and Compliance

Enterprise customers require standards such as SOC 2, GDPR, and secure authentication systems. AI-generated code frequently lacks secure input validation, secrets management, and dependency scanning.

Operational Blindness

Without a centralized logging stack, production bugs remain invisible. We deploy monitoring systems to catch errors before customer reports arrive.

Data Rigidity

Flat schemas fail at 100,000 records. We execute data normalization and migration scripts to ensure query performance remains under 30 secs.

Cost Inefficiency

Unoptimized AI agents generate redundant API calls. We audit token usage and memory management to reduce cloud overhead by up to 60%.

Technical Onboarding

Undocumented code halts team growth. We refactor for strict typing (TypeScript) and modular architecture to reduce new-hire ramp time.

Seen any of these before? Let’s fix them before they cost you. 

Most scaling failures are locked in during the prototype phase. Move from it works on my machine to an engine that scales globally with a dedicated Production Pod. 
Schedule Production Assessment

OUR PROCESS

From Prototype to Production in 6 to 8 Weeks

A proven framework refined over 100+ prototypes to production-ready deployments. We provide clear deliverables at every milestone and full visibility into the development lifecycle.
Week 1

Production-Readiness Assessment

We audit your existing codebase, infrastructure, and architecture against our 50-point production checklist. You get a clear picture of what’s solid, what’s risky, and what needs to be rebuilt.

Deliverables

  • Codebase quality report with severity ratings
  • Architecture risk assessment
  • Infrastructure gap analysis
  • Prioritized remediation roadmap
Weeks 2 – 4

Architecture & Re-engineering

We re-architect the foundation while preserving what works. This means proper data modeling, API design, authentication, and a modular structure that your future engineering team can extend without rewriting.

Deliverables

  • Production-grade architecture design
  • Database schema optimization & migrations
  • API standardization (REST or GraphQL)
  • Authentication & authorization layer
Weeks 3 – 5

Infrastructure & DevOps

We build the platform your product runs on. Cloud infrastructure provisioned as code, CI/CD pipelines that test and deploy automatically, and monitoring that catches issues before your users do.

Deliverables

  • Infrastructure as Code (Terraform/Pulumi)
  • CI/CD pipeline (GitHub Actions / GitLab CI)
  • Staging & production environments
  • Monitoring, logging, and alerting stack
Weeks 4 – 6

Testing & Quality Gates

We write the tests your prototype doesn’t have. Unit tests for business logic, integration tests for APIs, E2E tests for critical flows, and automated security scanning in every deploy.

Deliverables

  • Test suite (unit, integration, E2E)
  • Automated security scanning (SAST/DAST)
  • Performance benchmarks & load testing
  • Quality gates in the CI/CD pipeline
Weeks 6 – 8

Launch & Stabilization

We deploy to production with a zero-downtime strategy, run load tests against real traffic patterns, and stand by during launch to resolve any issues in real time. Then we hand off a product your team can own.

Deliverables

  • Production deployment with rollback capability
  • Load testing against projected traffic
  • Launch monitoring & incident response

THE 50 POINT STANDARD

Production Checklist We Use on Every Project

This is the abbreviated version of the checklist our engineering leads use to evaluate production readiness. Every item is a potential failure mode we've seen in real prototypes.

Infrastructure

  • Cloud-hosted with managed services
  • Auto-scaling configured and tested
  • CDN for static assets
  • Environment parity (dev/staging/prod)
  • Infrastructure defined as code

Security

  • HTTPS everywhere with HSTS
  • Authentication (OAuth 2.0 / JWT)
  • Role-based access control
  • Input validation & sanitization
  • Dependency vulnerability scanning

Testing

  • Unit test coverage > 80%
  • Integration tests for all API endpoints
  • E2E tests for critical user flows
  • Load testing against projected traffic
  • Automated security scanning (SAST)

DevOps

  • CI/CD pipeline with automated tests
  • Blue-green or rolling deployments
  • Rollback capability < 5 minutes
  • Branch protection & code review gates
  • Secrets management (no hardcoded keys)

Observability

  • Structured logging with correlation IDs
  • APM with response time tracking
  • Error tracking with alerting
  • Uptime monitoring & SLA dashboards
  • Cost monitoring & anomaly detection

Code Quality

  • TypeScript strict mode enabled
  • Consistent code style (ESLint/Prettier)
  • API documentation (OpenAPI/Swagger)
  • README with setup & architecture docs
  • Database migration scripts versioned

PROVEN RESULTS

Real Products. Real Impact.

Bridge the Gap, Stop Being Stuck in Production.

Schedule a brief consulting session to stop infrastructure bleed and start scaling your AI product today.

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EXPLORE OUR CAPABILITIES

More Ways We Can Help You with AI-Powered Product Engineering

AI-Native Engineering

We integrate AI into your core architecture using RAG pipelines, LLM orchestration, and agent frameworks, ensuring AI is a functional engine, not an afterthought.

Prototype to Production

We transition your MVP into a professional-grade system by implementing the infrastructure, security, and monitoring required for market deployment.

Code Quality and Engineering Excellence

We conduct deep-tier audits, architecture reviews, and security assessments to ensure your build is right the first time.Code Audit in 2 Weeks

Scaling MVP to Market Leader

We manage the complex transition to microservices, database optimization, and infrastructure scaling as you achieve product-market fit.Market-ready App in 3-4 Months

Product Studio for the AI Era

We provide the strategic leadership necessary to navigate the "hard middle" between a prototype and a global scale-up.Custom Sprint

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What You Need to Know

Frequently Asked Questions

Every line of code goes through peer review. We enforce automated testing (minimum 70% coverage), run security scans in CI/CD, and use tools like SonarQube to monitor code complexity. For critical features, we require two reviewers before merging.