F2SI LLM Studio

F2SI LLM StudioBY FRIENDS2A TECHNOLOGY

AI Engineering, Custom Models & Industrial AI

F2SI LLM Studio is the AI and machine learning division of Friends2a Technology. We design, build and run practical AI for real businesses: agentic apps on leading AI APIs, private models trained on your own data, AI for factory machines, and the consulting, training and support that keep it working.

1Service Line

AI Engineering

For software teams, enterprises, e-commerce & SaaS businesses

We build agentic apps and AI-powered software on top of leading large language model APIs such as OpenAI, Anthropic Claude and Google Gemini. Your software can read documents, answer questions from your own knowledge, call your business systems and complete multi-step tasks.

There are no GPU servers to buy or manage. You pay only for what you use, and projects can go live in weeks.

  • Agents that act, not just chat: they use tools, APIs and live data
  • Answers grounded in your own documents with RAG
  • Guardrails, evaluation and human approval for important actions
AI Engineering architecture: apps connected to an AI agent using LLM APIs, RAG, MCP and function calling

What we build

Shopify Agentic Apps

AI agents for Shopify merchants, delivered through our F2commerce brand.

  • Store management agent
  • Order & shipment tracking
  • Upsell, cross-sell & bundles
  • Ads, customer support & SEO agents

Wix Agentic Apps

Smart apps for Wix businesses, delivered through our F2 MIVAQ brand.

  • SEO agent
  • Booking & service agent
  • Website content agent
  • Customer chat agent

Business AI Applications

Custom AI software built around how your company works.

  • Document automation (invoices, forms)
  • Knowledge assistant for staff
  • Multilingual customer chat agents
  • Sales, lead, workflow & reporting agents

AI Integration Partner

We add AI features to existing software products for software companies and agencies, from chat and search to full agent workflows.

Agent Tooling with MCP

We connect AI agents to your databases, CRM, ERP and internal tools through MCP servers and function calling, with clear permissions on what each agent can do.

Quality & Safety

Every system ships with guardrails, accuracy testing and monitoring, so you can see how it performs and what it costs.

Technologies

LLM APIOpenAIAnthropic ClaudeGoogle GeminiPrompt EngineeringFunction CallingToolsMCPRAGEmbeddingsVector DatabaseMemoryAI AgentMulti-AgentOrchestrationWorkflow AutomationGuardrailsEvaluationMonitoring

2Service Line

ML Engineering: Private Custom Models

For security-sensitive companies, finance, legal, healthcare & e-commerce

We fine-tune open-source models such as Llama, Qwen, Gemma and Mistral for your specific tasks, and build small custom models from your own data. The models run on your own servers or private cloud, so sensitive data never leaves your control.

A small model trained for one job can be fast, accurate and far cheaper to run at high volume than a large general model.

  • Your data stays on your infrastructure
  • Lower running cost for high-volume tasks
  • Works offline and inside private networks
ML Engineering pipeline: company data and open-source models, fine-tuning, evaluation and private deployment

What we build

Private LLM & RAG

Chatbots and knowledge assistants running on open-source models inside your own servers, answering from your documents.

Task-specific Fine-tuning

Small models trained with LoRA for one job: extracting data, classifying messages or writing summaries in your format.

Document AI

OCR and extraction models that read invoices, forms, contracts and scanned documents and turn them into structured data.

Computer Vision

Models that detect objects, count items and recognise defects in images and video, built with YOLO and PyTorch.

Predictive ML

Forecasting sales and demand, scoring risk and detecting fraud from your historical business data.

Recommendation & Search

Product recommendations and smart search for e-commerce stores and internal knowledge.

Model Optimization

Quantization and tuning that make models smaller and faster, so they run on cheaper hardware and edge devices.

Technologies

LlamaQwenGemmaMistralLoRAQLoRAFine-tuningModel TrainingDataset PreparationData LabelingPythonPyTorchHugging Facescikit-learnXGBoostYOLOOCRTime-series ForecastingRecommendation SystemsQuantizationModel EvaluationvLLMOllama

3Service Line

Industrial AI Automation

For factories, manufacturing plants, warehouses & production lines

We bring AI to factory machines and production processes. Cameras and sensors on the floor feed AI models running on local edge devices, which spot defects, warn before machines fail and show managers what is happening in real time.

For work that controls machines directly, such as PLC and robotics integration, we work alongside industrial automation partners and control engineers.

  • Real-time results on local edge devices
  • Works with your existing machines and systems
  • Start with one line, then scale across the plant
Industrial AI: cameras and sensors feed edge AI, connected to dashboards and PLC or SCADA systems

What we build

Vision Quality Inspection

Cameras and vision models that check products on the line for defects in stitching, colour, labels, caps or packaging.

Predictive Maintenance

Sensor data on temperature, vibration and power analysed to warn your team before a machine breaks down.

Production Analytics

Live dashboards for output, uptime, downtime and efficiency, with daily summaries for managers.

Safety Monitoring

CCTV-based detection of helmets and safety vests, and alerts when people enter restricted areas.

Counting & Inventory

Automatic counting of products on conveyors and stock in warehouses, and tracking of trucks and loads.

Energy Optimization

Analysis of electricity, gas and boiler usage to find waste and lower energy costs.

Control & Robotics Integration

Connecting AI results to PLC, SCADA and robots, for example to reject a faulty product automatically, delivered with automation partners.

Technologies

Computer VisionIndustrial CameraEdge AINVIDIA JetsonIoT SensorsMQTTModbusOPC UAPLC IntegrationSCADA IntegrationTime-series DatabaseAnomaly DetectionPredictive MaintenanceReal-time DashboardDigital TwinRobotics Integration

4Service Line

AI Consulting & Training

For business owners, management teams, IT departments & universities

Not every problem needs AI, and not every AI project needs a custom model. We help you find where AI truly saves time and money, choose the right approach and plan the cost before you build.

We also train your teams to use AI tools in daily work, and train developers to build AI systems themselves.

  • Clear, honest advice on where AI fits
  • Practical plans with budget and timeline
  • Hands-on training with real exercises
AI Consulting and Training: assess, plan, train and launch

What we offer

AI Readiness Assessment

We review your processes and data and deliver a report on where AI can save time and cost, and where it cannot.

AI Roadmap & Cost Planning

Which projects to do first, API or private models, expected costs and a realistic timeline.

Corporate AI Training

Training for staff and managers to work faster with AI tools for reports, email, analysis and research.

Developer Training

Hands-on courses in AI engineering (APIs, RAG, MCP, agents) and machine learning (fine-tuning, evaluation).

Workshops & Bootcamps

One to three day practical workshops for universities, incubators and industry groups.

AI Policy Advisory

Clear rules on what information staff may share with AI tools, to protect data and privacy.

Methods & Tools

AI Readiness AssessmentProcess MappingUse-case PrioritizationROI & Cost AnalysisArchitecture DesignChatGPTClaudeGeminiCopilotPrompt EngineeringAI GovernanceData PrivacyHands-on Labs

5Service Line

AI Operations & Support

For every company running AI in production

Launching an AI system is only the start. We keep it reliable month after month: watching performance, updating models, controlling costs, keeping data secure and helping your users.

Support plans cover the systems we build and can also cover AI systems you already run.

  • Monitoring of uptime, quality and cost
  • Regular model updates and retraining
  • Fast help when something goes wrong
AI Operations and Support cycle: deploy, monitor, update, optimize cost, secure and support

What we provide

Deployment & Hosting

Setting up AI systems on your servers, cloud accounts or edge devices with Docker and proper configuration.

Monitoring

Tracking uptime, speed and answer quality, with alerts when something changes.

Model Updates & Retraining

Adding new documents and data, retraining custom models and moving to better models as they appear.

Cost Control

Watching API and server spend, routing simple work to cheaper models and removing waste.

Security

Access control, data protection, logging, backups and recovery plans.

User Support

Help for your team when issues come up, small changes and training for new users.

Technologies

MLOpsLLMOpsDockerKubernetesLinux ServerAWSAzureGoogle CloudGPU Server SetupCI/CDMonitoringLogging & TracingModel VersioningRetraining PipelineCost OptimizationAccess ControlBackup & Recovery

How We Work

From Problem to Production

Every project follows the same clear path, so you always know what comes next and what it costs.

1

Understand

We study your workflow, data and goals, and agree on one clear problem to solve.

2

Plan

We choose the right approach, API, private model or both, with scope, cost and timeline.

3

Build & Test

We build a working pilot, test it on your real data and measure the results.

4

Launch

We deploy into your systems, connect your tools and train your team.

5

Support

We monitor, update and improve the system as your business grows.

Deployment Options

Run AI Where It Fits You Best

We match the setup to your data rules, budget and speed needs.

Fastest start

AI APIs

Leading models from OpenAI, Anthropic and Google. No servers to manage, pay per use.

Your cloud

Private Cloud

Models deployed in your own AWS, Azure or Google Cloud account, billed to you.

Full control

On-Premise Server

Open-source models on your own servers. Data never leaves your building.

Factory floor

Edge Device

Small models on devices such as NVIDIA Jetson for real-time, offline results.

Let’s Build Your AI Solution

Tell us about your business and the problem you want to solve. We will suggest a practical starting point and a clear plan.