AI agents and agentic workflows
Agents that plan and carry out multi-step tasks across your tools, then hand off to a person when judgement is needed.
AI agents and machine learning that do real work
Answer customers, read documents and make routine decisions automatically, around the clock.
We design, build and run AI that answers customers, reads documents, sees images and makes routine decisions for you, connected to your own data and systems and checked by your team where it matters.
What We Deliver
Specialist skills. A joined-up solution.
Answer customers, read documents and make routine decisions automatically, around the clock.
LLM apps and copilots
Assistants built into your product or internal tools that draft, summarise, search and answer in your tone of voice.
RAG knowledge assistants
Ask questions of your documents, policies and tickets and get answers with sources, kept up to date automatically.
Computer vision
Models that detect, classify and measure what is in images and video, from X-rays to shop floors and city streets.
NLP and document AI
Turn unstructured text, forms and scanned documents into clean, structured data your systems can use.
Voice AI
Speech-to-text and voice agents that transcribe calls and consultations and turn them into actions and records.
Predictive models and machine learning
Forecast demand, score risk and spot anomalies with models trained on your own historical data.
MLOps and deployment
Put models into production safely, with monitoring, evaluation and retraining so they stay accurate.
AI strategy and readiness
Find the use cases worth doing first, check your data and plan a proof of concept with a clear business case.
Our Toolkit
The right tools for your goals.
Chosen around your systems, your team and the result you need.
01
Language models
Leading model families, run your way
OpenAI · GPT
Anthropic · Claude
Google · Gemini
Llama
Qwen
DeepSeek- Azure AI
- Hugging Face
02
Agents and RAG
Agents, retrieval and tool use
- LangChain
- LangGraph
- MCP
- Vector databases
- Embeddings
- Function calling
03
Machine learning
Training and prediction
- Python
- PyTorch
- TensorFlow
- scikit-learn
- XGBoost
- Pandas
04
Vision and speech
Images, audio and documents
- OpenCV
- YOLOv8
- CNNs
- Speech to text
- OCR
- Medical NLP
05
Deployment
Serving, scaling and monitoring
- FastAPI
- Docker
- Azure AI
- AWS
- REST APIs
- Laravel
Our Approach
A clear path from idea to operation.
Discover
We map the work you want AI to take on and pick the use case with the clearest return.
Prove it
A focused proof of concept on your own data shows accuracy and value before you commit.
Build and connect
We build the agent or model and connect it to your systems, data and approval steps.
Test and guard
We evaluate answers, add guardrails and keep people in the loop where it matters.
Launch and improve
We deploy, monitor quality and cost, and keep improving the model as you use it.
RAG and agent workflow
- 1Ingest your data
- 2Embed and index
- 3Retrieve context
- 4Reason and act
- 5Evaluate and monitor
AI Portfolio
Models and agents in production.
A selection of the AI agents, vision, speech and language projects in our portfolio.
Customer Support / Enterprise AI
SupportEase ChatBot
Enterprise RAG & Knowledge Support Assistant
Healthcare / Radiology
AI Virtual Radiologist
AI Diagnostic Triage and Radiology Workflow Platform
Healthcare AI / Clinical NLP
Healthcare Speech-NLP Model
Doctor Patient Conversation to Structured Clinical Data
Security / Smart Homes / Public Safety
Secureye AI Surveillance
AI-Driven Video Surveillance
Customer Support
AI Customer Support Suite
Agentic Customer Service Automation
Healthcare / Radiology
Bone Fracture Detection Model
AI X Ray Fracture Detection, Classification and Reporting
A proof of concept usually takes 2 to 6 weeks. A production AI agent or model typically takes 6 to 12 weeks, depending on integrations and data.
Yes. We connect to your data with role-based access, can keep it inside your own cloud, and never use it to train public models.
We pick the model that fits the task, budget and privacy needs, from leading commercial models to open-source models you host yourself.
We test against real examples, add guardrails, cite sources and route uncertain or high-risk cases to a person to approve.
Yes. Many of our AI projects are in healthcare and finance, where we work with standards such as ICD, SNOMED and FHIR and strict access controls.
Let’s Talk
The next big thing starts with a conversation.
An idea, a challenge, a “what if”. Tell us what you have in mind, and we’ll figure out the next step together.
What happens next
- Share your ideaSend the form or book a call, whichever suits you.
- Discovery callWe talk through your goals, timeline and scope.
- A clear proposalA fixed price or monthly rate before any work begins.
- info@technomous.com
- Phone
- +92 333 0440459
- Chat on WhatsApp