AI-Powered Prompt-to-Production Platform
AI-Powered
Prompt-to-
Production Platform
Go from natural language prompts to live, SEO-optimized Next.js applications in under four minutes
Go from natural language prompts to live, SEO-optimized Next.js applications in under four minutes
Enterprise Software & Cloud Solutions · USA · 2026 – Present · AI Engineering + Product Development
Enterprise Software & Cloud Solutions · USA · 2026 – Present · AI Engineering + Product Development



Go from concept to code in minutes with AI-powered Next.js generation.
Go from concept to code in minutes with AI-powered Next.js generation.
About the Platform
About the Platform
86%
Reduced Generation Time
75%
Lower Generation Costs
Lower Generation Costs
1-Click
Vercel Deployment
Vercel Deployment
The platform was built to democratize web application development, enabling founders and businesses to generate fully functional, SEO-optimized, and integration-ready Next.js 14 applications using simple natural language prompts, instantly previewed in secure cloud sandboxes
The platform was built to democratize web application development, enabling founders and businesses to generate fully functional, SEO-optimized, and integration-ready Next.js 14 applications using simple natural language prompts, instantly previewed in secure cloud sandboxes
Key Functionalities
Key Features Implemented
Key Features Implemented
01
Multi-Stream Parallel Code Generation
Employs a 4-stream concurrent LLM architecture (CSS/Layout, Primary Pages, Secondary Pages, Components/SEO) that parallelizes execution and slashes compilation times.
Employs a 4-stream concurrent LLM architecture (CSS/Layout, Primary Pages, Secondary Pages, Components/SEO) that parallelizes execution and slashes compilation times.
02
Isolated E2B Cloud Sandboxes
Replaces standard browser-based containers with cloud-hosted E2B sandboxes, providing real-time live previews, differential file updates, and dynamic terminal outputs
Replaces standard browser-based containers with cloud-hosted E2B sandboxes, providing real-time live previews, differential file updates, and dynamic terminal outputs
03
03
Pluggable App Connectors Engine
A generic, registry-driven OAuth 2.0 framework that lets generated apps seamlessly connect to external systems like Stripe (billing), Shopify (e-commerce), Google Calendar, and Microsoft Excel
A generic, registry-driven OAuth 2.0 framework that lets generated apps seamlessly connect to external systems like Stripe (billing), Shopify (e-commerce), Google Calendar, and Microsoft Excel
04
04
Model Context Protocol (MCP) Integration
Secure server-side protocol enabling the AI generator to execute terminal tools, query databases, search the web, and read/write files to autonomously debug and build features
Secure server-side protocol enabling the AI generator to execute terminal tools, query databases, search the web, and read/write files to autonomously debug and build features
05
05
Hardened, Auto-Validated SEO & AEO Layer
Guarantees production-ready SEO. Automatically generates robots.txt, sitemaps, semantic HTML, and runs post-deployment Google Lighthouse and JSON-LD schema audits
Guarantees production-ready SEO. Automatically generates robots.txt, sitemaps, semantic HTML, and runs post-deployment Google Lighthouse and JSON-LD schema audits
06
Enterprise Credential Vault & RLS
Protects external API and OAuth credentials using AES-256-GCM client-side encryption and strict Supabase Row-Level Security (RLS) policies for complete multi-tenant isolation
Protects external API and OAuth credentials using AES-256-GCM client-side encryption and strict Supabase Row-Level Security (RLS) policies for complete multi-tenant isolation
Delivered a prompt-to-live pipeline that compiles and deploys complex Next.js applications in under 4 minutes.
- Scaled the backend architecture to support 1,000+ concurrent users with high-performance storage and pre-warmed sandbox pools.
-Optimized LLM operations to reduce per-generation costs by 75% through scaffold-caching and smart model routing (Sonnet + Haiku)..
-Established complete Langfuse tracing and observability to monitor LLM performance, response times, and system costs in real time.
Delivered a prompt-to-live pipeline that compiles and deploys complex Next.js applications in under 4 minutes.
- Scaled the backend architecture to support 1,000+ concurrent users with high-performance storage and pre-warmed sandbox pools.
-Optimized LLM operations to reduce per-generation costs by 75% through scaffold-caching and smart model routing (Sonnet + Haiku)..
- Established complete Langfuse tracing and observability to monitor LLM performance, response times, and system costs in real time.
Our Delivery Framework
Our Proven Delivery Approach
Our Proven Delivery Approach
Four steps from discovery to a production-ready platform your team fully owns.
Four steps from discovery to a production-ready platform your team fully owns.
Strategic Planning
Audited the initial Proof of Concept (POC) codebase, isolated performance bottlenecks in the parsing engine, and defined a strict 6-week MVP timeline with clear feature boundaries.
Audit deep. Plan sharp. Launch with precision.
Technology Selection & Architecture
Selected Remix (Vite) for the platform, Supabase (PostgreQL & Auth) for data-layer storage, E2B for secure preview sandboxes, Vercel for instant deployments, and Langfuse for LLM observability.
Right stack. Right partners. Built to scale from day one.
Development Kickoff
Assembled a specialized engineering pod (frontend, backend, and platform/devops specialists) to execute development streams simultaneously
Specialized pods. Parallel streams. Zero wasted time.
Continuous
Optimization & Scaling
Replaced browser-based WebContainers with E2B cloud runtimes, migrated page generation to a 4-stream parallel LLM architecture, and updated Vercel AI SDK to native tool-calling, cutting generation times from ~30 minutes to ~4 minutes.
Faster pipelines. Smarter architecture. From 30 minutes to 4.
Strategic Planning
Audited the initial Proof of Concept (POC) codebase, isolated performance bottlenecks in the parsing engine, and defined a strict 6-week MVP timeline with clear feature boundaries.
Audit deep. Plan sharp. Launch with precision.
Technology Selection & Architecture
Selected Remix (Vite) for the platform, Supabase (PostgreQL & Auth) for data-layer storage, E2B for secure preview sandboxes, Vercel for instant deployments, and Langfuse for LLM observability.
Right stack. Right partners. Built to scale from day one.
Development Kickoff
Assembled a specialized engineering pod (frontend, backend, and platform/devops specialists) to execute development streams simultaneously
Specialized pods. Parallel streams. Zero wasted time.
Continuous Optimization & Scaling
Replaced browser-based WebContainers with E2B cloud runtimes, migrated page generation to a 4-stream parallel LLM architecture, and updated Vercel AI SDK to native tool-calling, cutting generation times from ~30 minutes to ~4 minutes.
Faster pipelines. Smarter architecture. From 30 minutes to 4.
Your Vision Deserves Enterprise-Grade Execution
Your Vision Deserves Enterprise-Grade Execution
Senior-led teams, scalable architecture, and strategic delivery — building digital products designed for long-term growth, performance, and ownership.
Senior-led teams, scalable architecture, and strategic delivery — building digital products designed for long-term growth, performance, and ownership.
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DATABRICKS Bronze tier PARTNER
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© 2026 Sublime Data All rights reserved.
Data Services
AI & Product Services
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sublime.

DATABRICKS Bronze tier PARTNER
Databricks implementation and Data engineering Specialists. Helping Growth-Stage and Mid-Market Companies build production-ready Data platforms
© 2026 Sublime Data All rights reserved.
Data Services
AI & Product Services
Partners
Company
sublime.
Databricks implementation and Data engineering Specialists. Helping Growth-Stage and Mid-Market Companies build production-ready Data platforms

DATABRICKS Bronze tier PARTNER
© 2026 Sublime Data All rights reserved.
Data Services
AI & Product Services
Partners
Company










