Pandora ResearchPandora
Research
RUEN

Development of AI agents for business needs

We build intelligent agents that automate processes, offload teams and work around the clock — from analysis to launch and support.

24/7
agent uptime
no days off, no pauses
−40%
routine requests
taken off your staff
78.3%
answer accuracy
on typical scenarios
3–8
weeks to MVP
first working prototype
Why us

Why clients choose us

A tailored approach, advanced technology and experience in AI solutions.

Tailored approach

We build an AI agent around the specifics of your business, data and goals — no cookie-cutter boxed solutions.

Expertise & experience

A team of engineers and analysts with deep expertise in ML, LLMs and running models in production.

End-to-end solutions

We integrate the AI agent with your systems and services — from data sources to customer communication channels.

Advantages

What AI agent development delivers

Process optimization, lower costs, accuracy and 24/7 operation.

Integration with existing systems

The agent connects to your CRM, ERP, knowledge bases and external APIs — working inside your processes, not beside them.

High accuracy and efficiency

Advanced algorithms, RAG and answer-quality controls deliver predictable results on real data.

Scalability

The solution handles growing load and scenarios — from a single-department pilot to the whole company.

Support and maintenance

We maintain the agent after launch: monitoring, retraining, improvements and SLA at every stage.

Process

How we run a project

A transparent path from analysis to launch and ongoing support of the agent.

  1. 1

    Requirements analysis

    We study needs, data and processes and define the features and success metrics of the future agent.

  2. 2

    Architecture design

    We design the agent’s structure: choice of models, algorithms, data sources and integration methods.

  3. 3

    Development and testing

    We build a prototype, populate the knowledge base and verify it against requirements and scenarios.

  4. 4

    Systems integration

    We connect the agent to the client’s services and channels — website, messengers and internal systems.

  5. 5

    Launch and monitoring

    We put the agent into production, monitor its quality and keep improving it.

Case studies

Projects we are proud of

Our AI agent and web application projects prove the team’s expertise.

AI agent for service-desk ticket triage

The agent automatically detects the topic of incoming tickets and routes them to the right support teams.

AI agent

AI agent & MCP server for an operations-tracking system

An MCP server and interface through which the agent pulls live data from the tracking system on a user's request and answers in natural language.

AI agent

Stock-market analytics portal

Forecasting financial-asset prices: an ETL pipeline, ML models and analytics visualization.

ML

Real-time pattern detection on financial charts

An MVP pattern builder: microservices, streaming quote processing and notifications.

ML

Telemetry aggregator for heavy machinery

Collecting data from industrial excavators into a single server, a live status dashboard and analytics reports.

IoT
FAQ

Frequently asked questions

An AI agent is an AI-powered software solution that understands requests, accesses data and systems and performs tasks on its own: answering customers, processing documents and assisting staff. It removes routine and works around the clock.

The agent reduces team workload and the cost of routine operations, speeds up request handling and improves accuracy and 24/7 availability. This frees staff for tasks that truly need a human.

We usually show a first working prototype (MVP) within 3–8 weeks — the timeline depends on scenario complexity, data quality and the number of integrations. After that the agent evolves iteratively.

Usually your knowledge base, documents, request history and access to the systems the agent will work with. At the start we audit the data together and identify what is missing.

Yes. We build bots and AI assistants for Telegram, your website and other messengers — connected to your data, CRM and internal systems.

The agent can be deployed in your own environment or in the cloud. We discuss upfront what data the model uses and pick a solution that fits your privacy requirements — including self-hosted models when data must not leave the company perimeter.

Contacts

Let’s discuss your project

Send a request — we’ll assess the task and propose a solution within one business day.

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