Engineering R&D and ML Lab

R&D, Machine Learning
and Software Development
for your business

We turn complex challenges and raw data into working products. From applied research and prototyping to production deployment.

Not "magic AI", but engineering results. Measurable metrics, clear architecture and seamless integration into existing processes.

Discuss Your Project View Case Studies

Project Evaluation — 24 hours

Founder-led

Deep founder involvement in every project

Fast Pilots

From idea to MVP in a short timeframe

Fixed Price

Transparent budget without hidden fees

ALLITI Core Visual
System Operational

> Initializing Neural Networks...
> Optimization: 99.8%

5M ₽

Investments Raised

Grants & partnerships

20+

Awards

Grants, scholarships, competitions

MTS | Gazprom Neft | Almazov Centre

Major Clients

Core Capabilities

Key Competencies

From scientific research and digital twins to the implementation of ML/LLM systems and their integration into the corporate environment.

R&D and Engineering Solutions

From applied research to digital twins

We conduct scientific R&D, numerical and simulation modeling of complex systems, and create digital twins. We develop and interconnect server and client parts of solutions, providing a full engineering cycle.

  • • Formalization of hypotheses and development of numerical models.
  • • Full cycle of software product development.
  • • Data Engineering, data warehouses, and analytics.

What it gives to business:

Proven feasibility study and robust architecture for scalable digital solutions.

ML, LLM, RAG and Analytics

Intelligent services: from forecasts to multi-agents

We create classical ML models, Deep Learning solutions, and modern LLM systems with RAG and tool calling. We focus on predictive analytics, scoring, and decision support algorithms.

  • • Building ML and DL models for specific tasks.
  • • Development and implementation of LLM/RAG systems based on your data.
  • • Creation of predictive and diagnostic analytics systems.

What it gives to business:

Specific, measurable models for the task, not "black boxes" on data.

Enterprise Solutions & Integration

Embedding AI into your IT landscape and MLOps

We design enterprise architecture and ensure seamless integration with key information systems. We bring solutions to an industrial level through an MLOps approach and maintain them as a product.

  • • MLOps, CI/CD, versioning, and monitoring in production.
  • • Integration with the corporate IT landscape and business processes.
  • • Evaluation of AI effectiveness and pilot support.

What it gives to business:

A manageable ML/LLM platform and clear value embedded in existing processes.

Recognition

Achievements & Recognition

Certificates, diplomas, grants, and professional development programs confirming our team's expertise and quality of our R&D approach.

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Recent Impact

Recent Case Studies

Examples of implementations and results. We discuss specific metrics and economic effects for each project individually.

Corporate Processes Task Mining

Corporate Processes Task Mining

Collecting and analyzing events from work systems and user actions allows us to reconstruct real employee work scenarios, find bottlenecks, unnecessary steps, and process variations across roles and teams.

As a result, processing time for standard tasks is reduced by ~20–25% and a transparent map of operations is created for further automation and implementation of LLM assistants.

Industry Digital Thread

Digital Thread of Additive Manufacturing

We build an end-to-end contour from part requirements to remote 3D printing, including formalizing requirements, parametric modeling, numerical checks, G-code preparation, and sending to print considering queues, materials, and equipment constraints. The solution integrates with PLM/MES and quality analytics systems.

As a result, the cycle from idea to finished part is reduced to a few days, and the number of prototyping iterations decreases due to digital traceability and models.

Medicine CDSS & Data Analytics

Clinical Analytics and Decision Support System

The analytical module for the clinic aggregates clinical, operational, and economic data, allows building predictive models for treatment outcomes and complication risks, and provides dashboards for doctors and administrators with an emphasis on interpretability and traceability of metrics.

As a result, the preparation of analytical reports accelerates by ~10 times, and clinical and management decisions become more informed.

Technologies

Our Technology Stack

We use a stack that is steadily supported: from ML libraries and LLM frameworks to clouds, message brokers, and frontend.

Backend & ML

Python
FastAPI
TypeScript
NestJS
Go
Kotlin
C#
.NET
Microservices
OpenAPI
REST
PyTorch
Transformers
vLLM
LangChain
MLflow
Apache Kafka
Apache Airflow
Apache Spark
SolidWorks

DevOps & Cloud

Docker
Kubernetes
n8n
GitLab CI
Jenkins
Terraform
Nginx
Linux
Prometheus
Grafana

Data & Storage

PostgreSQL
ClickHouse
Redis
S3

Frontend & UX

React
Vue
TypeScript
Next.js
CSS
vtk.js
Three.js
Figma

MVS Strategy

Focus on your result, not just the technology

Value from the first weeks

MVS (Minimum Viable Scope) Strategy is an approach where we define the minimum but sufficient scope of work. You get the first tangible result in just 1-2 weeks. No empty research without business value.

Fast and transparent start

Long "ML Implementation" (from 3 months)

Clear
"Data Audit + Pilot Plan" (in 5 days)

Process

How we work

01

Analytics & Technical Design

We dive into the context, conduct a data audit, formulate hypotheses, and finalize the technical specification with success metrics.

02

Development & Validation

We develop models and services, test them on real data, and agree on metrics and use cases.

03

Integration & Pilot

We integrate the solution into the customer's IT landscape, launch pilot operations, and transfer the complete package of software artifacts, documentation, and knowledge to the customer's team.

Clients Say

Client Reviews

What those who have already entrusted us with their projects and R&D tasks say about our work.

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About the Company

Engineering team for business and AI tasks

LLC "ALLITI" is a team of engineers and developers creating applied digital solutions based on modern technologies and machine learning. We support projects throughout the entire cycle, from ideas and requirements to industrial launch and further support.

We develop decision support systems, predictive services, and industry-specific software products for medicine, industry, the financial sector, telecom operators, and e-commerce. We help reduce costs, improve process quality, and discover new directions for growth.

Team Experience

DataScience, full-stack development, MLOps, integrations, and product management are brought together in a single stack and a single team. We know how to link models, services, and infrastructure into a robust architecture ready for industrial operation.

Approach

We assess the initial data and real capabilities on the customer's side, carefully navigate constraints, and propose solutions that remain clear and manageable. All calculations, from preliminary estimates of cost and timeframe to the final economic effect and maintenance costs, are completely transparent, documented, and updated as the project progresses. We bring solutions to a sustainable operational stage and take responsibility for the outcome, not just a demonstration prototype.

Contacts

Contact Us

Briefly describe the task, data, and deadlines - we will offer a format of work and an estimated plan.

Describe the context, current data, and constraints. We will return with clarifying questions and proposals for the format of engagement (audit, pilot, turnkey project).

Telegram (Contact)

@allitidb

Telegram (Channel)

@LLCAlliti

Email

allitidb@alliti.ru
TenChat

TenChat

Allitidb

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