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Ace Intelligence Systems
Preparing an ultra-fast, streamlined experience.
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Preparing an ultra-fast, streamlined experience.
Ace Intelligence
Your customers and teams communicate via voice, photos, and PDFs. Give them instant, verified answers across any channel.
Traditional knowledge bases and chatbots only understand clean plain text. When a customer sends a photo of an invoice, a voice note from a noisy job site, or a complex PDF specification, standard bots fail. We engineered an omnichannel multi-modal assistant that transcribes audio, extracts visual text, parses dense manuals, and provides instant grounded answers with zero human delay.
Customer support and operations teams spend over 4 hours every day deciphering messy customer inputs: listening to rambling audio messages, typing out data from photographed receipts, and hunting through 100-page operational manuals. Unstructured queries cause missed SLAs, customer churn, and massive support overhead.
A unified intelligence pipeline that transcribes incoming voice notes, OCRs uploaded images and invoices, parses PDF documentation, and retrieves exact answers from a verified enterprise knowledge base in under 3 seconds.
Omnichannel Ingestion: Seamlessly processes audio voice notes, photo attachments, scanned documents, and text messages. | Instant Accurate Answers: Grounded in your company's actual operating procedures, manuals, and pricing sheets. | 24/7 Availability: Resolves up to 70% of routine incoming operational questions without human agent intervention. | Seamless Human Handoff: Escalates edge cases with full conversation context and transcription history.
Watch the full demo on YouTube to see the Multi-Modal Assistant in action, processing voice notes, photographed receipts, and documents via Telegram.
Multi-Modal Input Handling: Supports text, audio, images, and documents from Telegram messages. Vector Database Integration: Uses Milvus for sub-second similarity search and context retrieval. Advanced Embeddings: Employs Cohere's multilingual embeddings for accurate cross-lingual understanding. Conversational Memory: Maintains natural context across long multi-turn interactions. Automated Document Chunking: Intelligently segments PDFs and reference manuals for granular retrieval.
Telegram Bot API integration receives incoming multi-modal payloads. Audio is transcribed via speech-to-text, images pass through OCR, and text is vectorized into Milvus vector storage using Cohere multilingual embeddings. Responses are synthesized with GPT-4o mini and delivered back via webhook. Built entirely on an extensible, self-hosted n8n orchestration engine running in Docker.
n8n Orchestration | Milvus Vector DB | Cohere Multilingual | GPT-4o mini | Telegram Bot API | DockerExplore the complete open-source workflow JSON, docker-compose configuration, and integration guide on GitHub.
https://github.com/OMCHOKSI108/AI-AUTOMATION-WORKFLOWS/tree/main/MULTI_MODEL_RAG_AGENTArchitected and delivered by the Ace Intelligence engineering team.
Om Choksi (CTO) — https://github.com/OMCHOKSI108
Yash Khare (Founder) — https://github.com/firefistisdead
Ansh Gajera (CEO) — https://github.com/anshgajeraWe design, engineer, and deploy production-grade software and AI systems that eliminate manual bottlenecks, reduce operating costs, and accelerate revenue.