Software engineered and operated by our studio.
We believe the only credible proof of engineering capability is working software that handles real users and real money. Below is the open technical dossier of our production platforms, their engineering complexities, and their deployed agentic architectures.
Agent Swarm for Performance Marketing
Autonomous multi-agent orchestration for cross-channel advertising operations
Autonomous agents that plan, monitor, and optimize paid ad spend across Meta and Google with deterministic spend guardrails and human oversight.
Core Product Complexities
- Reconciling fundamentally conflicting attribution and bidding models across disparate ad networks (Meta ASC vs. Google PMax vs. LinkedIn B2B).
- Dynamic intraday budget reallocation with fractional micro-pacing to prevent early budget exhaustion.
- Automated creative fatigue detection measuring frequency velocity and cost-per-acquisition decay curves.
- Multi-tenant blast-radius isolation preventing cross-account data leakage across enterprise clients.
AI & Agentic Capabilities Deployed
- Orchestrator-Specialist decomposition: Planner Agent formulates media strategy; Pacer Agent calibrates hourly spend; Creative Auditor flags fatigue.
- Strict schema-constrained tool execution: Agents propose actions through strongly typed JSON schemas validated before dispatch.
- Interactive human-in-the-loop review queue: High-stakes budget adjustments over configurable thresholds require explicit operator confirmation.
- Audit trail transparency: Every autonomous decision is permanently logged with step-by-step reasoning tokens, inputs, and projected impacts.
Data Flow: Real-time webhook ingestion from ad platform APIs into event-driven serverless edge workers, normalized into a unified campaign data model.
State & Isolation: PostgreSQL database with Row Level Security (RLS) guaranteeing strict tenant boundaries; time-series tables for hourly pacing telemetry.
Concurrency & Scale: Asynchronous task queue executing parallel agent evaluations across thousands of campaign groups without API rate-limit starvation.
Fault Tolerance: Deterministic circuit breakers that automatically freeze agent adjustments if platform APIs return anomalous metrics or unexpected error spikes.
Stock Recommendations Aggregator
Real-time financial recommendation ingestion, verification, and performance auditing
Automated research platform ingesting stock calls from SEBI-registered analysts, verifying claim evidence against live NSE market data, and computing public track records.
Core Product Complexities
- Automated extraction of financial advice from messy unstructured inputs (live TV broadcasts, OCR of graphical call cards, social feeds).
- Ticker resolution resolving ambiguous company mentions to exact NSE trading symbols across corporate name changes and symbol migrations.
- Multi-horizon outcome arbiter evaluating targets and stop-losses across Intraday, BTST, Swing, and Long-Term holding horizons.
- Strict anti-gaming resolution: Zero P&L credited until the market officially prints at or beyond the entry and target prices.
AI & Agentic Capabilities Deployed
- Multimodal Evidence Extraction Agent: Extracts ticker, entry range, stop-loss, and multi-tier targets from visual cards and captions.
- Grounding & Validation Agent: Verifies that stated target prices fall within historical circuit limits and realistic volatility bands.
- Advisor Integrity Scorer: Continuously updates statistical reliability scores, risk-reward ratios, and compliance adherence ratings.
- Automated Horizon Arbiter: Evaluates price action against expiry ladders (T+1 to T+90) with automated stop-loss reconciliation.
Data Flow: Continuous multi-channel media ingestion pipeline extracting broadcast frames, running OCR/NLP extraction, and publishing resolved calls to an ingestion queue.
State & Isolation: Normalized relational schema indexing 100,000+ historical calls, advisor profiles, and daily NSE bhavcopy tick archives.
Concurrency & Scale: Partitioned time-series tables for high-throughput market price evaluation against active recommendation ladders.
Fault Tolerance: Quarantine gates that isolate conflicting or ambiguous recommendations for manual review, preventing corrupted track records.
AI-Native Agency Web & Marketing Platform
Turnkey AI-native agency web architecture, AEO/GEO optimization, and performance growth infrastructure
Showcasing our capability to build, deploy, and operate high-converting agency & service websites—engineered with programmatic SEO, Answer/Generative Engine Optimization (AEO/GEO), interactive lead magnets, editorial blog, and end-to-end lead management—alongside our results-linked marketing agency services under the Performatica brand.
Core Product Complexities
- Generative & Answer Engine Optimization (GEO/AEO) structuring technical schema markup and entity graphs for citation by AI search engines (ChatGPT, Perplexity, Google AI Overviews).
- Interactive client-side ROI calculation widgets, lead magnets, and conversion tools driving qualified inbound pipeline.
- Automated headless publishing pipeline managing educational teardowns, case studies, and long-tail programmatic SEO landing pages.
- End-to-end lead lifecycle tracking connecting initial web touchpoints and ad click IDs (gclid, fbclid) directly into CRM pipeline stages.
- Results-linked performance marketing operations integrating Meta Graph API and Google Ads telemetry with client analytics.
AI & Agentic Capabilities Deployed
- AEO/GEO Schema Generator: Automatically analyzes content and synthesizes structured JSON-LD entity graphs for AI engine discovery.
- Inbound Lead Intent Enricher: Analyzes incoming website submissions, scores business intent, and enriches lead data for sales outreach.
- Ad Account Waste Detector: Autonomous scanner auditing client ad accounts 24/7 to eliminate wasted budget and negative keywords.
- Performance Report Synthesizer: Converts multi-channel web and marketing telemetry into plain-English executive weekly summaries.
Data Flow: Responsive web architecture with client-side lead capture webhooks routing into Supabase and CRM endpoints, paired with GA4 and Meta CAPI server-side event tracking.
State & Isolation: Relational database indexing inbound inquiries, lead enrichment metadata, and programmatic content schemas with CDN asset distribution.
Concurrency & Scale: Global edge CDN delivery achieving sub-second Largest Contentful Paint (LCP) with automated sitemap pings and search indexation feeds.
Fault Tolerance: Asynchronous webhook retry queues guaranteeing zero dropped client leads during upstream CRM or webhook provider disruptions.
Retail AI Algo Trading Software
Autonomous algorithmic trading execution and research lab for NSE Equities & F&O
Institutional-grade algorithmic trading platform featuring visual strategy builders, walk-forward out-of-sample promotion gates, and live execution via Kite Connect.
Core Product Complexities
- Low-latency tick evaluation on high-frequency NSE market feeds across equities, futures, and option chains (CE/PE).
- Atomic broker-side order pairing: Automatically placing protective Stop-Loss (SL-M) and Target (LIMIT) orders upon fill, with OCO cancellation.
- Live broker-state reconciliation polling order states and handling partial fills, network disconnects, and manual broker overrides.
- Walk-forward out-of-sample promotion gates ensuring strategies cannot be deployed to live trading without statistical validation against curve-fitting.
AI & Agentic Capabilities Deployed
- Autopilot Orchestrator: Multi-agent trading bot coordinating market scanners, signal triggers, and capital allocation limits.
- Autonomous Research Lab: Continuously iterates indicator permutations, runs backtests, and scores strategy DNA across 7 behavioral axes.
- Strict Promotion Gatekeeper (canPromote): Enforces walk-forward out-of-sample testing, corruption detection, and lineage-bounded recycling.
- Broker Safety Sentinel: Enforces mandatory EOD MIS square-offs and maximum drawdown circuit breakers.
Data Flow: WebSocket stream from Zerodha Kite Connect feeding tick data to an in-memory indicator calculator and strategy signal generator.
State & Isolation: PostgreSQL state store running 92 migrations; pg_cron scheduled triggers managing market open, EOD MIS square-offs, and state sweeps.
Concurrency & Scale: 22 stateless Deno edge functions executing isolated strategy evaluations in parallel with millisecond execution cycles.
Fault Tolerance: Broker-reconciliation heartbeat every 10 seconds; instant kill switch triggering immediate order cancellation on market anomalies.
AI Video Production Studio
Autonomous multimodal video generation and cross-platform rendering engine
Script-to-publish video production suite routing across Google Veo 3.1, Sora, and ElevenLabs with automated aspect-ratio reframing and captions.
Core Product Complexities
- Coordinating multi-provider generative models (Google Veo 3.1, OpenAI Sora, ElevenLabs, HeyGen) into a coherent, synchronized video timeline.
- Dynamic aspect-ratio reframing rendering simultaneous variants for YouTube landscape (16:9), Instagram/TikTok vertical (9:16), and square (1:1).
- Phoneme-level audio-to-caption synchronization with animated word-by-word highlight styling.
- Handling asynchronous long-running render jobs that range from 30 seconds to 5 minutes with reliable webhook callbacks.
AI & Agentic Capabilities Deployed
- Scriptwriting & Storyboard Agent: Formulates pacing, visual prompts, and voiceover timing calibrated for retention.
- Dynamic Model Router: Selects the optimal video generation engine (Veo, Sora, Kling, Luma) based on prompt visual complexity and budget.
- Automated Quality Inspector: Detects visual distortions, unnatural avatar mouth movements, and audio-video timing drift.
- Batch Variant Synthesizer: Generates multiple creative hook variants from a single product URL for A/B testing.
Data Flow: 5-step wizard decomposing user intent into scene segments, generating audio stems and video clips in parallel, compiled by cloud render clusters.
State & Isolation: Supabase storage buckets managing raw video segments, neural voice stems, and final encoded MP4 files with CDN distribution.
Concurrency & Scale: Queue-based worker architecture distributing rendering requests across third-party GPU clusters without blocking client UI.
Fault Tolerance: Fail-closed authenticated webhooks with cryptographic HMAC signatures; automated fallback to secondary video models on provider timeouts.