Engineering lab R&D and ML
We turn complex problems and raw data into working products. From applied research and prototype to production rollout.
Not “magic AI”, but engineering outcomes. Measurable metrics, clear architecture and careful integration into existing processes.
Free problem review and implementation options.
100+
projects delivered of varying complexity
20+
awards, grants and certificates at federal level
5+
industries: medicine, manufacturing, finance
RUB 5M
raised in grants and investment for R&D
01 — Services
From scientific research and digital twins to ML/LLM system rollout and integration into the corporate landscape.
/ 01
Scientific R&D, numerical and simulation modelling of complex systems, digital twins. Full engineering cycle: server and client sides.
Outcome: a validated feasibility study and robust architecture for scalable solutions.
More about R&D and engineering/ 02
Classic ML models, Deep Learning and LLM systems with RAG and tool calling. Predictive analytics, scoring, decision support.
Outcome: measurable models fit to the task, not “black boxes” on your data.
More about ML, LLM and RAG/ 03
Enterprise architecture and seamless integration with core information systems. We take solutions to production grade and support them as a product.
Outcome: a managed ML platform embedded into existing processes.
More about integration and MLOpsRelated services: custom software development and chatbot and AI agent development.
02 — Process
Instead of “ML rollout from 3 months” — a clear start: data audit and pilot plan in 5 days. Then three well-defined stages.
We dive into context, audit the data, form hypotheses and lock the spec with success metrics.
We build models and services, test on real data, agree metrics and usage scenarios.
We embed the solution into the client IT landscape, launch pilot operation and hand over artefacts, documentation and knowledge.
03 — Cases
04 — Stack
We use a stack with stable support in Russia: from ML libraries and LLM frameworks to clouds, message brokers and frontend.
Backend & ML
Python · FastAPI · TypeScript · NestJS · Go · Kotlin · C#/.NET · PyTorch · Transformers · vLLM · LangChain · MLflow · Kafka · Airflow · Spark
DevOps & Cloud
Docker · Kubernetes · GitLab CI · Jenkins · Terraform · Nginx · Linux · Prometheus · Grafana · n8n
Data & Storage
PostgreSQL · ClickHouse · Redis · S3
Frontend & UX
React · Vue · Next.js · TypeScript · Three.js · vtk.js · Figma
05 — Recognition
Grants, diplomas, certificates and registered software confirming the team level and the quality of our R&D approach.
06 — Reviews
07 — About
ALLITI LLC is a team of engineers and developers building applied digital solutions based on modern technology and machine learning. We support projects across the full cycle: from idea and requirements to production launch and maintenance.
We build decision support systems, predictive services and industry software products for medicine, manufacturing, finance, telecom operators and e-commerce.
All estimates — from initial cost and timeline to final economic effect — are fully transparent, recorded in documents and updated as the project evolves. We are accountable for outcomes, not demo prototypes.
08 — Contacts
Briefly describe the task, data and timeline — we will propose a way of working and an outline plan.
Telegram (contact)
@allitidbTelegram (channel)
@LLCAllitiTenChat
AllitidbWe usually reply within one business day. For urgent matters, duplicate your message on Telegram.