MEMORA

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Selected Works

Precision. Scale. Impact.

We build sophisticated AI systems that solve complex enterprise bottlenecks. Real businesses, real metrics.

AlphaEdge Capital

Automated Options Trading System

An independent retail trader with profitable manual setups but no ability to scale. Manual trading in today's data-saturated environment requires superhuman discipline — over 95% of retail traders lose money. The client needed technology to level the playing field against institutional traders.

"This system does in milliseconds what used to take me hours of staring at charts. For the first time, my edge is being executed with the discipline I never had."

— Client, AlphaEdge Capital

14yHistorical Data
<200msOrder Latency
2Live Brokers
5minResolution

What We Built

  • Batch data pipeline processing ~14 years of historical OHLC data across equities, indices, futures, options, commodities, currencies, and forex
  • Production-grade intraday engine on 5-minute candles using FastAPI orchestration, OpenAlgo broker abstraction, and live execution via Upstox and Kotak Neo APIs
  • Walk-forward backtesting framework with statistical evaluation preventing overfitting
  • Proprietary trade logic: Price Action, Stop-Confirm-Go entry, secondary parameters, automated stop-loss
  • Real-time data integration: live prices, derived indicators, news feeds, macro data

Core Technology

Python, FastAPI, OpenAlgo, Upstox API, Kotak Neo API, pandas, scikit-learn, WebSocket

Stealth AI Startup

Enterprise Voice AI Assistant

A stealth AI startup needed to build a production conversational AI with real-time voice, long-term memory, and autonomous daily briefings for enterprise users.

"The voice AI and memory system became our core product differentiator. Users don't just use it — they rely on it."

— CTO, Stealth AI Startup

82%Token Reduction
1.2sVoice Latency
68%Daily Active Usage
11moIn Production

What We Built

  • Real-time streaming voice pipeline: STT → LLM → TTS with sub-1.2-second end-to-end latency
  • Long-term personalization engine: storage LLM extracting structured user preferences
  • Prompt architecture redesign and context deduplication reducing routing LLM token usage by ~82%
  • PromptFoo benchmarking tracking latency, tool-call accuracy, memory retrieval, and reasoning performance
  • Agentic Daily Brief: autonomous agent compiling calendar, emails, and news

Core Technology

Python, FastAPI, LangChain, LangGraph, Redis, PostgreSQL, Next.js, PostHog, PromptFoo, Docker, AWS.

NovaSell

AI-Driven Sales Agent Training Platform

A Singapore-based AI-first startup building a flight simulator for sales teams. Disconnected AI prototypes worked in isolation. Real-time avatar conversations suffered from inconsistent latency spikes. Platform felt like multiple standalone tools.

"Memora re-engineered our entire platform. What was a collection of AI experiments became a product enterprise sales teams actually want to buy."

— CEO, NovaSell

70%Latency Reduction
4Container Modules
3xFeature Velocity
B2BMulti-tenant Ready

What We Built

  • Modular AI framework: AI Pitch Simulator, avatar-based conversational agent, deck generator, and real-time transcription/summarization
  • Unified control layer managing prompts, model configs, and agent behaviors across all modules
  • High-performance backend: message queues for async AI tasks, caching layers, WebSocket event streaming
  • Enterprise productization: multi-tenant workspace support, role-based permissions, separated user/team/session data

The Impact

  • Up to 70% lower latency across avatar and simulation flows — real-time responses felt natural
  • 3x faster feature delivery through modular architecture
  • Platform transformed from prototype to enterprise-ready SaaS serving teams across APAC

Core Technology

React, Node.js, WebSockets, Message Queues, Docker, Enterprise Auth.

TalentForge

AI Interview & Screening Platform

A recruiting platform needed an AI Interview & Candidate Screening Platform with hybrid speech pipeline processing real-world audio.

"We went from 3 screening interviews a day to 40. The AI personas are so well-tuned that candidates feel like they're talking to a real recruiter."

— Head of Talent, TalentForge

9AI Personas
85%Time Saved
99.7%Audio Uptime
4hTo First Interview

What We Built

  • Hybrid STT: Groq Whisper Large v3 (primary) + AssemblyAI (fallback) with chunked audio processing and 2-second overlap deduplication
  • 9 distinct TTS interviewer personas with unique voice characteristics and styles using Groq PlayAI TTS
  • spaCy-powered entity extraction: skills, experience, companies, education pulled automatically from resumes and spoken answers
  • Pinecone vector matching: candidate profiles scored against job requirements with intelligent question adaptation

The Impact

  • Screening time reduced from 30 minutes to 12-15 minutes per candidate, fully autonomous
  • Time from application to first interview: 5-7 days → under 4 hours
  • Candidate satisfaction: 4.3/5 — most didn't realize they were talking to AI

Core Technology

Groq Whisper Large v3, AssemblyAI, Groq PlayAI TTS, spaCy, Pinecone, Python.

GulfTrade Logistics

AI Knowledge Base & Employee

A mid-size Dubai logistics company with 120+ employees handling complex, frequently-changing regulatory requirements.

"This AI knows our business better than most of our employees. The WhatsApp integration was the key — our team actually uses it because it's where they already work."

— COO, GulfTrade Logistics

2.4kPages Ingested
73%Ticket Deflection
<4sResponse Time
$8.2kMonthly Savings

What We Built

  • Document ingestion pipeline processing 2,400+ pages of SOPs, compliance manuals, vendor contracts, and regulatory updates into a structured vector database
  • RAG architecture with pgvector, semantic chunking preserving document context and table structures
  • Conversational AI on WhatsApp and web dashboard with role-based access control for sensitive HR/financial data
  • Automated stale content detection flagging documents past review dates

The Impact

  • 73% ticket deflection — questions previously requiring human support answered instantly
  • New employee onboarding: 4-6 weeks → 10 days
  • Zero compliance incidents from outdated information in 4 months

Core Technology

pgvector, RAG Architecture, WhatsApp Business API, Web Dashboard, Multi-lingual NLP.

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