Document Intelligence
Citation-backed document Q&A
for smarter business operations
Turn daily work into connected AI workflows that search, reason, and act across your tools.
Workflow Automation
Agents that connect to your tools
Computer Vision
Image-based workflow automation
Research-to-Prototype
From papers to working demos
Services
Practical AI for business operations.
Whether you run a restaurant, clinic, office, online store, or technical team, Fatol AI helps turn repetitive work, documents, customer requests, and business bottlenecks into useful AI-powered workflows.
AI Workflow Automation
Automate repetitive tasks like customer intake, appointment requests, follow-ups, form handling, email routing, and internal operations.
Document & Knowledge Assistants
Let your team ask questions over menus, policies, manuals, reports, invoices, FAQs, PDFs, and internal knowledge without searching manually.
Computer Vision Automation
Use AI to detect objects, read visual information, blur sensitive data, inspect images, or automate visual checks in privacy-sensitive workflows.
Scheduling & Optimization Systems
Improve scheduling, staff planning, resource allocation, routing, inventory decisions, or other operations where better choices save time and cost.
AI Demos & MVPs
Start with an idea and turn it into a working demo, prototype, or MVP before investing in a full production system.
Working Demos
Selected AI Systems
Built systems across agents, RAG, computer vision, and reinforcement learning.
Voice Agent
AI phone agent for clinic appointment calls, from caller intake to scheduling.
- Connects with voice platforms such as Retell AI and can hand off caller details to CRMs like HubSpot.
- Manages appointment flow, backend state, availability logic, and scheduling decisions.
- Built with LangGraph, FastAPI, PostgreSQL, and Redis.
Talk to PDF
Self-hosted RAG system for asking questions over PDFs with cited answers.
- Supports PDF text extraction with GROBID for local processing or Azure Document Intelligence for cloud-based document parsing.
- Uses hybrid retrieval with pgvector and PostgreSQL full-text search to find relevant passages.
- Streams answers with citations and grounded document context.
Smart Interviewer
AI interview agent for structured candidate screening and evaluation.
- Runs voice-based interviews with transcription, adaptive follow-up questions, and candidate scoring.
- Helps turn interview conversations into structured evaluation notes for faster screening.
- Built with Whisper, LLM evaluation logic, LangGraph, FastAPI, and speech workflows.
Redact ID
Computer-vision API for detecting and redacting sensitive information in document images.
- Detects sensitive regions in ID cards and document images, then applies automatic blur/redaction.
- Designed for privacy-sensitive workflows where uploaded documents need safe preprocessing before storage or review.
- Built with YOLO-based detection and API-ready image processing.
DRL Wizard
Experiment dashboard for training and comparing deep reinforcement learning agents.
- Runs and monitors reinforcement-learning experiments with concurrent training jobs.
- Compares algorithm performance across environments, rewards, and training runs.
- Built with FastAPI, Streamlit, structured logging, and experiment workflow utilities.
Research & R&D
Applied AI research, from idea to validated system
Fatol AI supports research-heavy AI work where algorithms need to be understood, implemented, tested, and explained clearly. The focus is on deep reinforcement learning, multi-agent systems, optimization, edge AI, and resource-allocation problems.
Where we can help:
- Reproduce and implement algorithms from papers
- Design experiments, baselines, ablations, and evaluation workflows
- Improve technical writing, figures, and research presentation
- Turn research ideas into simulations, prototypes, or demo systems
DRL-based resource allocation in NOMA-aided industrial IoT towards energy productivity maximization
8 citationsA multi-agent proximal policy optimized joint mechanism in mmWave HetNets with CoMP toward energy efficiency maximization
11 citationsA Multi-Agent DRL-Based Power Allocation Mechanism for Multi-Cell NOMA Networks
About Fatol AI
From AI ideas to working systems.
Fatol AI works with businesses at different stages: from owners who are just starting to explore how AI could help, to teams ready to build agents, document tools, vision systems, or workflow automation. The focus is simple: understand the real problem, create a practical first version, and improve it based on how people actually use it.
- For early AI ideas, demos, and business workflow automation.
- Clear guidance before building, so the solution fits the business.
- Practical systems for restaurants, clinics, offices, and service teams.
Contact
Have an AI workflow worth automating?
Start with a short conversation. The assistant will collect the problem, current workflow, goals, and contact details so we can follow up with a clear next step.
Discuss your project