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Implementation of artificial intelligence, autonomous AI agents, and big data engineering

Transforming cutting-edge capabilities of artificial intelligence and data analytics into measurable operational profit for the company. From integration of intelligent corporate knowledge bases (RAG) and autonomous AI agents to demand forecasting using machine learning (ML), interactive BI dashboards and IoT telemetry.

Enterprise AI Agents LLM & RAG Knowledge Bases Machine Learning Models Data Science & BI Dashboards IoT & Sensor Telemetry Computer Vision & Automation ALL AI Lab Ecosystem
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x10 Speedup

Data processing speed

AI agents analyze client requests and primary documents within 2 seconds instead of 30 minutes of manual work.

95%+ Accuracy

Accuracy of RAG responses

Response generation exclusively based on approved internal regulations and company knowledge base

24/7 Autonomy

Process Autonomy

round-the-clock automatic qualification of incoming leads, dispatching and report generation without human involvement.

100% Data Privacy

Confidentiality of models

Local or isolated deployment of models: business commercial data will never be exposed to public access.

[ ENGINEERING STANDARD AI LAB ]

How to implement artificial intelligence with a solid ROI, not as a temporary marketing toy

Most attempts by businesses to use artificial intelligence end up with simple copying of answers from ChatGPT, which does not provide systematic business results and creates a direct threat of leaking confidential information. Our engineering approach within the specialized ALL AI Lab division is the creation of corporate isolated systems: search within company document databases (RAG), integration of AI agents with accounting databases via API and automation of daily labor-intensive employee routine with intellectual property protection.

✓ We sign an official contract with fixed price and development terms
✓ Warranty SLA support 90 days after the system is put into operation
✓ 100% transfer of intellectual property and source code of the project to the client

Corporate RAG knowledge bases

Smart assistants find precise information among thousands of PDF instructions, regulations and contracts within 1 second with an exact link to the original source.

Private secure perimeter

Deployment of open models (Llama 3, Mistral, Qwen) on isolated GPU-servers of the client without transmission of information to third parties.

Multi-agent connections (AI Agents)

Autonomous agent chains that independently perform complex tasks: qualify the client, calculate the estimate in CRM and send the quotation.

Innovative BI analytics and Machine Learning

Building mathematical models for demand forecasting, client churn prediction, and visualization of real business indicators on dashboards.

[ 8 Categories of Solutions ]

Specialized Solution Areas

Choose the technical implementation format for your tasks.

[ 01 ] Applied Enterprise AI

Implementation of artificial intelligence (AI) for business ↗

Audit of company operational processes and implementation of custom AI tools, which actually save team working time and increase margins.

What is included in the implementation:
✓ Preliminary audit of time loss points and calculation of ROI for AI implementation
✓ Development of specialized AI assistants for the sales, support, and marketing departments
✓ Integration of generative AI with your internal CRM and product database
✓ Training employees in effective prompt engineering and security protocols
OpenAI API / Claude 3.5 / Gemini Pro / LangChain / LlamaIndex
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[ 02 ] Machine Learning & Models

Development of solutions based on machine learning (ML) ↗

Creation and training of predictive mathematical models for specific tasks: forecasting warehouse balances, dynamic pricing and classification.

What is included in the implementation:
✓ Preparation, cleaning, and marking of training samples of historical company data
✓ Training and validation of demand forecasting models and seasonal fluctuations
✓ Computer vision systems (Computer Vision) for quality control on production
✓ Deployment of models as fast REST/gRPC microservices
Python / PyTorch / Scikit-Learn / XGBoost / FastAPI / MLflow
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[ 03 ] Autonomous Agentic Workflows

AI agents and autonomous automation of business processes ↗

Designing autonomous digital employees (AI Agents), capable of performing complex sequential tasks: reading email, filling CRM, checking invoices and responding to clients.

What is included in the implementation:
✓ Multi-agent orchestrations (CrewAI / AutoGen) with role distribution (analyst, executor, controller)
✓ Direct connection of agents to internal APIs, databases, and corporate messengers
✓ Autonomous primary processing and sorting of incoming requests 24/7 without output
✓ Contour verification of agent actions by a human (Human-in-the-loop) for critical financial operations
CrewAI / AutoGen / LangGraph / Function Calling / Tool Use
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[ 04 ] Enterprise Knowledge Retrieval

Corporate knowledge bases and RAG systems based on LLM ↗

Creation of intelligent corporate search systems using Retrieval-Augmented Generation (RAG) technology. Real-time search of regulations, contracts, instructions, and code.

What is included in the implementation:
✓ Indexing thousands of PDF, Word, Excel, Notion and Confluence documents into vector databases
✓ Semantic hybrid search (Vector + BM25) with exact page citation
✓ Exclusion of "hallucinations" from the model: the assistant strictly adheres to your materials
✓ Access rights separation: an employee receives information only within the scope of their authority
Qdrant / ChromaDB / pgvector / Embeddings / Hybrid Search
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[ 05 ] Big Data Pipelines & ETL

Data Science and Big Data engineering ↗

Building a reliable infrastructure for collecting, cleaning, structuring, and analyzing large volumes of commercial data from multiple disparate sources.

What is included in the implementation:
✓ Designing data lakes (Data Lakes) and analytics warehouses (Data Warehouses)
✓ Development of automated data collection and transformation pipelines (ETL/ELT pipelines)
✓ Client base segmentation, cohort calculation, LTV and churn probability (Churn Rate)
✓ Cleaning historical data from duplicates and anomalies for accurate business analysis
ClickHouse / Apache Spark / Airflow / PostgreSQL / Pandas / dbt
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[ 06 ] Interactive Business Intelligence

End-to-end business analytics and BI-dashboards (Power BI / Tableau) ↗

Creation of clear and beautiful interactive dashboards for owners and top managers. Combining sales, advertising, inventory and finance on one screen.

What is included in the implementation:
✓ Development of live dashboards in Power BI, Tableau or custom web panels
✓ Automatic data retrieval from Google Analytics, advertising cabinets, CRM and banks
✓ Calculation of key business metrics in real time: ROMI, CAC, ROAS, margin
✓ Convenient adaptation of dashboards for smartphones for daily quick control
Power BI / Tableau / Metabase / Looker Studio / DAX / SQL
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[ 07 ] Internet of Things & Hardware

IoT Development: Smart Devices, Telemetry, and Controllers ↗

Development of software for industrial internet of things (IIoT): collecting telemetry from temperature sensors, pressure sensors, GPS trackers, counters and controllers.

What is included in the implementation:
✓ Data collection gateways via protocols MQTT, Modbus, CoAP, BLE, and HTTP
✓ Cloud server for processing and aggregating thousands of signals per second in real time
✓ Interactive monitoring panel for equipment status with audio and Telegram notifications
✓ Predictive technical maintenance models based on AI
MQTT Broker / Mosquitto / TimescaleDB / ESP32 / Modbus / Grafana
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[ 08 ] Immersive Virtual & Augmented Reality

Development of VR/AR projects for business and training ↗

Creation of interactive 3D-solutions for augmented (AR) and virtual (VR) reality: virtual product showrooms, training simulators for staff and presentation AR-tools.

What is included in the implementation:
✓ WebAR: viewing 3D product models in real space directly from a browser without apps
✓ VR-simulators for workplace safety and technological operations for warehouses and production
✓ Interactive 3D product configurators (furniture, technology, real estate) for websites
✓ Optimization of 3D models for instant loading on smartphones
Three.js / WebGL / WebXR / Unity / Blender / ARKit / ARCore
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[TECHNOLOGICAL STACK]

Engineering Stack and Architectural Standards

We do not use bulky constructors or ready-made themes. Development is carried out according to the principles of clean architecture and proven corporate standards.

LLM & Generative AI

Leading open and cloud AI models

  • OpenAI GPT-4o / o1 API
  • Anthropic Claude 3.5 Sonnet
  • Llama 3.1 & 3.3 (Open Weights)
  • Mistral Large & Codestral
  • LangChain & LlamaIndex Frameworks
  • Ollama / vLLM GPU Serving

Vector Databases & RAG

Fast semantic search and work with embedding repositories

  • Qdrant Vector Database
  • ChromaDB Local Engine
  • pgvector PostgreSQL Extension
  • Text Embeddings 3 Large
  • Hybrid BM25 Keyword Search
  • Semantic Chunking Pipelines

Machine Learning & Big Data

Stack for processing terabytes of data and building predictive models.

  • Python 3.12 / PyTorch
  • ClickHouse OLAP Database
  • Scikit-learn & XGBoost
  • Apache Airflow Orchestration
  • FastAPI Microservice Runtimes
  • Docker GPU Containers

BI Analytics & IoT Telemetry

Visualization of business metrics and protocols of industrial sensors

  • Microsoft Power BI Pro
  • Tableau Desktop & Server
  • Metabase Open Source BI
  • MQTT Protocol & Mosquitto
  • TimescaleDB Time-Series
  • Grafana Real-time Telemetry
[ METHODOLOGY AND STAGES ]

How We Implement Projects from Scratch

Transparent and controlled process without missed deadlines and unexpected budget expansions.

01

Analytical data audit and hypothesis formation

We are examining existing databases, assessing their completeness and cleanliness, determining specific KPIs and expected economic return from the implementation of AI.

02

Architecture and boundary protection design

We are selecting the stack (cloud or private GPU server), developing data vectorization schemes and access boundary model.

03

Development of a prototype (Proof of Concept)

Within 2–3 weeks we create a working prototype on the company's real data sample and conduct a measurement of the accuracy and usefulness of the results.

04

Full integration into corporate systems

Connecting AI modules with CRM, ERP, messengers and databases through reliable API gateways with error protection.

05

Monitoring accuracy, training, and support

We track the quality of model responses, regularly update the knowledge base, and optimize the costs of computational tokens.

Our Clients

Companies that trust ALL IT Agency for development, scaling, and security of their digital solutions

Valikhnovski Surgery Institute
Partner Case 11
Partner Enterprise
TOV Zagin Alpha
Partner Case 5
Partner Case 6
Wizeclub
Meregi Group
DIM Service
Valikhnovski Surgery Institute
Partner Case 11
Partner Enterprise
TOV Zagin Alpha
Partner Case 5
Partner Case 6
Wizeclub
Meregi Group
DIM Service
[ FREQUENT QUESTIONS ]

Answers to questions from the client

Key details regarding terms, warranties, transfer of source code and the development process.

No, confidentiality is our top priority. When working with corporate APIs (OpenAI Enterprise, Anthropic) official B2B agreements are in place with a guarantee that the data provided is never used for training general models. For clients with heightened security requirements (banking sector, medicine, law) we deploy open LLM models (Llama 3, Mistral) on your own isolated GPU servers, from which data physically cannot leave.
A regular chatbot generates responses based on general knowledge from the internet and often invents non-existent facts (hallucinates). RAG (Retrieval-Augmented Generation) first finds accurate paragraphs in your real corporate document database (PDF, Word, CRM), and only based on the found information forms a response, necessarily referring to the page number or a specific contract.
Quick working prototype (Proof of Concept), for example a smart knowledge base RAG or AI-bot for lead qualification in Telegram, is created and demonstrated within 2–3 weeks. Full-scale integration into CRM, ERP and analytics takes from 4 to 8 weeks.
ALL AI Lab — this is a specialized R&D department of ALL IT Agency, which engages in applied research and commercial implementation of neural networks, autonomous agents and predictive analytics for the real sector of business. We test the latest open models and adapt them to practical business tasks of the clients.
Not required. If cloud APIs of leading providers are used through encrypted gateways, there is no need to purchase any video cards or servers: payment is made only for the tokens actually consumed. If, however, fully autonomous deployment on own infrastructure is chosen — we select the most cost-effective server allocations with GPU in data centers of Hetzner or OVH.
100% copyright and commercial rights to the developed system, vector databases, processing pipelines and integration code belong to the client under the contract.

Solution needed according to specific requirements Your industry?

Find out how we adapt and deploy IT infrastructure and services for government agencies, healthcare, retail, HoReCa, logistics and construction sectors.

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Confidentiality

Official NDA contract for system audit

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