# Indivision Technologies — Complete Technical Dossier & Knowledge Base > We engineer, host, and operate production-grade multi-agent AI systems, and AI-powered web and mobile applications for high-growth businesses globally. Think of us as your AI enablement partners. This document serves as the comprehensive, authoritative knowledge base for Indivision Technologies Private Limited (`indivisiontech.com`). --- ## 1. Executive Summary & Studio Philosophy ### 1.1 The Dual-Engine Model Most software consultancies operate on billable hours, staffing client projects with junior developers who have never deployed or managed production systems. Indivision Technologies operates on a **dual-engine venture lab model**: - **Engine 01 (Proprietary Venture Lab):** We independently design, engineer, finance, and operate live commercial software products handling real capital, tick-by-tick financial market feeds, high-volume advertising budgets, and generative multimodal rendering. We encounter database connection pool limits, 3 AM API provider outages, and prompt drift on our own balance sheet. - **Engine 02 (Client Product Studio):** We bring those exact battle-tested architectures, deterministic safety guardrails, and rapid engineering velocity to high-growth startups and enterprises globally through fixed-scope, outcome-based engineering sprints. ### 1.2 "Anti-Slop" Engineering Ethos Building an LLM demo or vibe-coded prototype in Cursor or Replit is trivial. Making it reliable, secure, fast, and commercially viable is hard. Indivision enforces: 1. **Deterministic Guardrails Over Pure Generative Freedom:** AI outputs are validated against strongly typed Zod and TypeScript schemas before touching databases or triggering downstream actions. 2. **Bounded Blast Radiuses:** Multi-agent workflows are constrained by hard spend ceilings, transaction limits, and role boundaries. 3. **Human-in-the-Loop Cockpits:** High-stakes actions (financial transactions, bulk email/ad dispatch, database schema modifications) require explicit human approval via interactive review consoles. 4. **100% Client Code & IP Ownership:** All source code, database migrations, configuration, and prompt schemas belong to the client from day one upon milestone completion. --- ## 2. Core Service Disciplines & Detailed Specifications ### Discipline 01: Prototype-to-Production Modernization - **Canonical URL:** https://indivisiontech.com/services/prototype-modernization - **Sprint Duration:** 2 to 3 weeks - **Typical Investment:** Starting at $5,000 USD (indicative, tailored to scope) - **Target Clientele:** Founders and innovation leads with early proofs-of-concept, hackathon prototypes, or vibe-coded apps built in Cursor, v0, or Replit that fail under real user testing. - **The Problem It Solves:** Prototypes typically embed API keys client-side, lack relational schema constraints, incur unbounded token spend, lack fallback logic when AI providers time out, and suffer from memory leaks and race conditions. - **Key Deliverables:** - Comprehensive architectural, vulnerability, and latency audit. - Migration of client-side credentials to secure serverless edge workers (Deno / Cloudflare). - Strongly typed input/output validation schemas using Zod and TypeScript. - Production PostgreSQL database schema with foreign keys, indexes, and automated point-in-time recovery. - Fail-closed deterministic fallback handlers and model retry policies. - Clean repository handover with full CI/CD deployment automation. ### Discipline 02: Full-Stack AI-Native Web & Mobile Engineering - **Canonical URL:** https://indivisiontech.com/services/full-stack-ai-engineering - **Sprint Duration:** 4 to 6 weeks - **Typical Investment:** Starting at $9,500 USD (indicative, tailored to scope) - **Target Clientele:** Startups, venture-backed teams, and SMBs needing a market-ready commercial AI product built and deployed from scratch. - **Core Technology Stack:** React 18, React Native (iOS & Android), TypeScript, Tailwind CSS, Supabase (PostgreSQL 17), Deno Serverless Edge Functions, Stripe / Razorpay. - **Key Deliverables:** - High-performance responsive web application with sub-second page transitions. - Cross-platform iOS and Android mobile applications via React Native. - End-to-end authentication, session management, and granular Role-Based Access Control (RBAC). - Stripe and Razorpay subscription lifecycle management and webhook reconciliation. - First-party telemetry, latency instrumentation, and error tracking. - Zero-downtime deployment pipelines with staging preview environments. ### Discipline 03: Multi-Agent Workflows & Deterministic Automation - **Canonical URL:** https://indivisiontech.com/services/multi-agent-workflows - **Sprint Duration:** 6 to 8 weeks - **Typical Investment:** Starting at $15,000 USD (indicative, tailored to scope) - **Target Clientele:** Operations, marketing, fintech, and risk teams automating complex multi-step knowledge workflows. - **Architecture Pattern:** Orchestrator-Specialist decomposition. A master planner breaks high-level goals into discrete tasks; specialist agents execute constrained tools; an arbiter validates output; human-in-the-loop review queues verify high-stakes decisions. - **Key Deliverables:** - Specialized agent definitions with bounded tool permissions. - Deterministic spending blast-radius controls and hourly rate limiters. - Interactive approval consoles for human review and override. - Complete step-by-step reasoning and tool execution audit trails. - Multi-provider model routing across Anthropic Claude 3.7, OpenAI GPT-4o, Google Gemini 2.5 Flash, and open-source models. ### Discipline 04: AI & Agentic System Testing, Evals & Hardening - **Canonical URL:** https://indivisiontech.com/services/ai-testing-evals - **Sprint Duration:** 2 to 4 weeks - **Typical Investment:** Starting at $6,000 USD (indicative, tailored to scope) - **Target Clientele:** Companies with existing LLM applications or multi-agent swarms struggling with prompt drift, hallucinations, escalating API bills, or compliance fears. - **Methodology:** We build automated evaluation harnesses using synthetic and golden datasets to evaluate output accuracy, faithfulness, and groundedness before customer exposure. - **Key Deliverables:** - Automated evaluation harness with quantitative accuracy and semantic similarity benchmarks. - Adversarial red-teaming testing against prompt injection, jailbreaking, and data extraction. - Tool-calling schema validation and out-of-distribution boundary tests. - Regression testing suites ensuring smooth foundation model version upgrades. - Latency, token budget, and cost-per-decision profiling. ### Discipline 05: Turnkey Cloud Hosting, DevOps & 24/7 Operations - **Canonical URL:** https://indivisiontech.com/services/turnkey-cloud-devops - **Engagement Model:** Starting at $750 / month USD (indicative retainer with 99.9% uptime SLA) - **Target Clientele:** Non-technical founders and lean teams who do not employ in-house DevOps or site reliability engineers. - **Key Deliverables:** - Fully managed PostgreSQL clustering on Supabase with Row Level Security. - Serverless edge compute deployment across global CDN nodes. - 24/7 automated uptime monitoring, anomaly detection, and rapid incident response (99.9% uptime SLA). - Daily automated database snapshots and disaster recovery failover. - Seamless foundation model deprecation migrations. --- ## 3. Live Proprietary Production Portfolio (Engineering Proof) ### 3.1 Indivision AI - **Category:** Autonomous Agents / Performance Marketing - **Live URL:** https://www.indivisionai.com | https://app.indivisionai.com - **Architecture:** Serverless edge workers ingest real-time webhooks from Meta Graph API and Google Ads API into a unified Postgres data model. Specialist agents (Planner, Pacer, Auditor) continuously evaluate performance and micro-pace intraday budgets. - **Key Engineering Feat:** Multi-tenant blast-radius isolation preventing cross-account data leakage across enterprise clients, with automated circuit breakers freezing adjustments upon anomalous API responses. ### 3.2 StockTipsArena - **Category:** FinTech & Financial Markets - **Live URL:** https://stocktipsarena.com - **Architecture:** Continuous ingestion pipeline extracting stock calls from SEBI-registered analysts across video, OCR, and social feeds. Calls are validated against live National Stock Exchange (NSE) tick-by-tick bhavcopy data. - **Key Engineering Feat:** Strict anti-gaming resolution: Zero P&L is credited until the market officially prints at or beyond entry and target levels across multi-horizon ladders. ### 3.3 Performatica Agency - **Category:** Agency Platform & Marketing Web Architecture - **Live URL:** https://www.performatica.agency - **Architecture:** High-conversion web architecture featuring headless publishing, automated AEO/GEO entity schemas, client-side interactive ROI calculators, and CRM pipeline synchronization. - **Key Engineering Feat:** Sub-second Largest Contentful Paint (LCP) with fail-closed webhook retry queues guaranteeing zero lost inbound inquiries. ### 3.4 India Algo Trader - **Category:** Quantitative Trading & Retail Execution - **Live URL:** https://algotrader.indivisionai.com - **Architecture:** High-frequency WebSocket stream from Zerodha Kite Connect feeding an in-memory indicator calculator and Deno execution functions. - **Key Engineering Feat:** Walk-forward out-of-sample promotion gates ensuring strategies cannot deploy to live trading without statistical validation against curve-fitting. Instant kill switch and automated broker reconciliation heartbeat. ### 3.5 VideoAI Studio - **Category:** Multimodal Media & Generative Video - **Live URL:** https://videos.indivisionai.com - **Architecture:** Asynchronous render queue decomposing video prompts into scene segments, routing prompts across Google Veo 3.1, OpenAI Sora, and ElevenLabs, with automated aspect-ratio reframing (16:9, 9:16, 1:1) and phoneme-synced animated subtitles. --- ## 4. The 4-Phase Studio Sprint Playbook - **Phase 01 — Architectural Blueprint & Feasibility (Days 1 to 5):** We test assumptions before writing production code. We validate data contracts, model token costs at 10x and 100x user scale, and establish unambiguous milestone acceptance criteria. - **Phase 02 — Production MVP Build (Weeks 2 to 4):** High-velocity engineering with weekly staging deployments. Client receives working previews, live database connections, and operational agent workflows within days. - **Phase 03 — Hardening, Security & Evaluation (Weeks 5 to 6):** Stress-testing edge cases: API rate-limits, network drops, prompt injections, database query optimization, and Vitest/Playwright integration suites. - **Phase 04 — Turnkey Hosting & Managed Evolution (Ongoing):** Dedicated infrastructure management under clear SLA response guarantees, handling continuous model upgrades, migrations, and backups. --- ## 5. Security, AI Governance & Global Compliance - **Zero Client Data Training:** Client data is never routed to foundation model providers for model training. Zero data retention policies are enforced across all LLM API endpoints. - **Strict Multi-Tenant Isolation:** Relational databases utilize PostgreSQL Row Level Security (RLS) guaranteeing cryptographic data boundaries between accounts. - **Compliance Readiness Architecture:** - **EU GDPR:** Tenant data isolation, zero unauthorized cross-border transfers, and automated data export/erasure routines. - **US CCPA / CPRA:** Granular customer access logs and zero third-party data broker sharing. - **India DPDP Act:** Verifiable consent capture architecture and purpose-limited processing boundaries. --- ## 6. Frequently Asked Questions (FAQ) **Q: Why does Indivision Technologies only offer fixed-scope outcome sprints instead of hourly billing?** A: Hourly billing misaligns incentives: agencies profit by moving slowly, inflating team size, and dragging out timelines. Fixed-scope outcome sprints reward engineering velocity, architectural clarity, and working software. Clients know their exact investment and delivery dates up front. **Q: Who owns the code and intellectual property?** A: The client owns 100% of the code, database schemas, prompt templates, and design assets from day one upon milestone completion. Indivision never introduces proprietary lock-in. **Q: Can we upgrade AI models without breaking our application?** A: Yes. Because all model tool calls and responses pass through strongly typed Zod and TypeScript validation schemas, foundation models can be upgraded (e.g. from Claude 3.5 to Claude 3.7 or GPT-4o) with regression eval suites validating backward compatibility before deployment. **Q: Where is Indivision Technologies located?** A: The studio is headquartered in Bengaluru, Karnataka, India (the Silicon Valley of India). We serve clients globally across North America, Europe, the Middle East, and Asia. **Q: How do we initiate an engineering sprint?** A: Submit a sprint inquiry at https://indivisiontech.com/contact or email contact@indivisiontech.com. We review scopes and provide an architectural assessment within 24 hours.