About Ficiali
About Ficiali
We're a software engineering company that builds AI systems, web and mobile apps, and provides engineers to work inside client teams.
Who we are
Engineers first, and focused on AI.
Most of our work involves agents, large language models and vector databases, and the software around them. We care about the unglamorous parts: evals, monitoring, security and code that someone else can maintain.
We can take a product from first idea to launch and keep improving it afterwards. Or, if you already have a team, we can add engineers and AI specialists to it.
Capabilities
What we work with
Agentic AI systems
- AI agents (LangGraph, CrewAI, AutoGen)
- Large language models
- Retrieval-augmented generation
- LangChain & LlamaIndex
Vector databases & NLP
- Qdrant, Pinecone, Weaviate, Chroma, Milvus
- Embeddings & fine-tuning
- Knowledge-base assistants
- Natural language processing
Computer vision
- Object detection & tracking
- Image classification & segmentation
- Face recognition
- Scene reconstruction
Machine learning
- PyTorch & TensorFlow
- OpenCV
- Cloud vision APIs
- Predictive models
Data engineering
- Snowflake & PostgreSQL
- Apache Spark & Flink
- Amazon EMR
- MongoDB
Web & mobile
- Next.js, React & FastAPI
- Flutter & React Native
- Cloud-native on AWS
- Docker & CI/CD
Leadership
Feroz Khan
Founder & CEO
Feroz is an AI engineer and the founder of Ficiali. Most of his work is on agent systems: models that plan, call tools and take actions inside real business software.
He has built multi-agent systems with CrewAI, LangGraph and AutoGen, RAG pipelines on Qdrant, Pinecone and Weaviate, and the FastAPI and Docker platforms they run on. He also works on computer vision, forecasting and full-stack SaaS.
He started Ficiali to build AI systems that hold up in production, not just in a demo.
Why Ficiali
Why clients work with us
We're a senior team in Karachi working with clients in more than 20 countries. You get experienced engineers at a sensible rate, and you deal with them directly.
Built for production
Evals, logging and cost limits are set up from the first sprint.
Working software early
Something usable within weeks, with a demo every week.
Open about progress
Clear scope, honest timelines, and you have the repo from day one.
Security by default
Encryption, access control and GDPR in mind from the start.
Long-term support
Most clients keep working with us after launch.
Senior engineers
People who build with LangGraph, RAG and LLMs every day.
How we work
How a project runs
The engineers who scope your project are the ones who build and ship it. No hand-offs between teams.
Discover
We look at your workflows and data, and agree on the numbers that will tell us it worked.
Architect
We pick the models, retrieval approach and infrastructure, balancing latency, accuracy and cost.
Build
Weekly demos, readable code and evals for every AI component, so you can see where things stand.
Deploy & optimise
We ship to production, monitor quality and keep tuning after launch.
Have a project in mind?
Book a free 30-minute call. We'll talk through what you need and whether we're the right team for it.
