Generative AI development services

74% of GenAI initiatives are meeting or exceeding ROI expectations.
GenAI delivers measurable value, not just vague experimentation.
 
Why delay the shift?

We bring 2 decades of experience, 300+ specialists, 270+ projects, and over 50 experts for epic R&D initiatives. With strong scientific background – RAG systems, AI agents, and more – we transform bold vision into reality.

Come work with professionals.

The challenges we solve

  • Data sits there unused
  • Work moves too slowly
  • Decisions wait on context
  • Operations hit a ceiling

The results you get

The first-wave generative AI was focused on creating new content: text, images, audio, video, code, animation. 
 
This era is over for good. The next one defines new baselines.
 
The next-gen generative AI is about a transformation of operations: intelligent AI that works within workflows.
Retrieval, orchestration, generation, perception, assistance, scale – trained AI where decisions actually happen.
 
We do not build generative AI. We turn the tools into infrastructure.

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Access

To surface what matters
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Speed

To move work forward, not wait for it
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Context

To act with confidence, not look for help
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Scale

To expand the capacity, not bottlenecks

AI built for production, not presentations

Book a free assessment
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Generative AI development services

No more throwaway prototypes.

Generative AI consulting? Strategic.

We identify the opportunities that deliver business value, not just the ones that sound most flashy.

Generative AI models? Scalable.

We aim for architecture that survives enterprise demands: performance, security, standards, scale.

Generative AI development? Custom.

We build the software that works around workflows, not one that makes you change your ways.

Generative AI integration? Seamless.

We connect the software to systems in place without crashing your operations or breaking a thing.

Generative AI development expertise

RAG systems

AI that does not just answer the question but extracts the details from the right sources to ground its response.

AI agents

AI that does more than chatting with users – it reasons, plans, acts, and evolves by itself to handle entire flows.

Generative AI

AI using data patterns to create new content: text, image, audio, video, code, motion, and anything you need.

Multimodal AI

AI seeing more than one specific data type to unlock deeper context a single data source wouldn’t reveal.

Human-computer interaction

AI solutions that people actually want to use.

Enterprise-grade operations

AI systems that survive in actual business settings.

AI working within workflows, not besides

Book a strategy session
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Generative AI solutions delivered

Game dev T2M-GPT solution

Game dev T2M-GPT solution

The input: natural-language prompts
The output: high-fidelity animations

Key benefits:

  • More customers
  • Easy retention
  • Higher revenue
  • Better differentiation

The result?

Manual effort was cut by 60% right away.

Game dev T2M-GPT solution
Mood board AI tool

Mood board AI tool

The input: plain-text descriptions
The output: high-level visuals

Key benefits:

  • More productivity
  • Less time & cost
  • Higher output
  • Better reuse of assets

The result?

Boring routines can be efficiently automated by 50%.

Generative AI development company clients trust

“They are willing to take on a challenge. This project has definitely not been easy but they have been willing to do the research in order to design a working solution.”

Co-Founder
Gaming Company

Our approach

1
We define your gaps, needs, priorities, and risks
2
We ground the model in context for reliability
3
We orchestrate the models, tools, workflows and agents
4
We stay for scaling, monitoring, analysis, and tuning
Why us

Why us

20+ years

20+ years of dedicated, science-driven engineering.

300+ employees

86% of specialists hold MS degrees in engineering.

270+ projects

A proven track record and confident 4.9 rating on Clutch.

R&D lab

AI/CV lab that counts 50+ experts in math and physics.

Generative AI use cases

Text

  • Document processing
  • Note taking
  • Enterprise search
  • Case summarization
  • Content creation
  • Customer support

Image

  • Image annotation
  • Image classification
  • Image generation
  • Image analysis
  • Anomaly detection
  • Visual inspection

Audio

  • Speech recognition
  • Call transcription
  • Voice assistants
  • Voice analytics
  • Speaker identification
  • Dialogue summarization

Video

  • Video search & indexing
  • Video summarization
  • Scene detection
  • Safety monitoring

Code

From generation to testing, debugging, review, and modernization.

Motion

From references to physics, transitions, motion, and animation.

Generative AI integration services across domains

Healthcare

Healthcare

● Document processing
● Note drafting
● Care navigation
● Visit summarization

eCommerce

eCommerce

● Product discovery
● Shopping assistance
● Catalog search
● Content generation

Finance

Finance

● Risk assessment
● Fraud detection
● Asset management
● Corporate budgeting

Manufacturing

Manufacturing

● Quality inspection
● Predictive maintenance
● Production planning
● Defect detection

Our stack

  • Foundation models

    GPT-4o, Claude 3, Gemini 1.5, LLaMA 3, Mistral, Mixtral

  • Multimodal models

    GPT-4o Vision, Gemini Vision, LLaVA, Kosmos-2

  • RAG & retrieval

    LangChain, LlamaIndex, Haystack, Pinecone, Weaviate, Qdrant, hybrid retrieval, query rewriting

  • Embeddings

    OpenAI Embeddings, Cohere Embeddings, BGE, E5

  • Orchestration

    LangGraph, CrewAI, AutoGen, MCP, function calling, tool use

  • Safety & evaluation

    Guardrails AI, NeMo Guardrails, faithfulness, groundedness, hallucination detection, Langfuse, Rebuff, HELM, APE, MMLU, OpenDecomp

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    FAQ

    What is generative AI?

    Generative AI is a specific class of models that create new content: text, images, audio, video, code, animation.

    Talking about enterprise context, it’s not only about the content but systems that transform into infrastructure. They work within workflows and don’t just exist beside them.

    Why should my team be using generative AI in their day-to-day work?

    Generative AI is the go-to tool to drop the friction of routines.

    Properly integrated into operations, it helps to scale the capacity without growing the workload or headcount. It retrieves, understands, automates, and supports hard decisions.

    How much do custom generative AI development services usually cost?

    That depends on size and complexity, data requirements, the depth of integration, and more:

    • Simple implementations can start from smaller scoped projects
    • Enterprise implementation will require multi-phase investments

    To get an estimate for our generative AI consulting & development services, just fill out the contact form.

    How long do custom generative AI development services typically take?

    That depends:

    • Prototype-level solutions are delivered in weeks
    • Production-grade systems fully integrated into existing enterprise workflows can take several months

    To get an estimate for our generative AI consulting and development services, just book a call.

    How is generative AI software development different from generic AI?

    In brief:

    • Generative AI can retrieve, understand, automate, and support further decision-making
    • Generic AI is by its nature mainly classification-based or predictive

    For a generative AI development services company having skilled engineers, both fall under “doable”.

    How do you ensure generative AI software development stays safe?

    We cover

    • Grounding responses
    • Applying guardrails
    • Controlling access to tools
    • Monitoring behavior in production, and everything in between!

    For a generative AI development services provider having required expertise, data safety is part of design.

    What are the examples of using generative AI in automated software development?

    Code generation, code review, test generation, bug fixing, documentation, refactoring – all can be automated. More creativity, fewer blockers, faster drafting, easier rollout, and many other benefits – why not do it?

    And do your engineers also use generative AI for routine software development?

    Coding assistance, code reviews, requirement generation, architectural exploration – we enjoy the efficiency. But everything is double-checked and validated by experts, not just used blindly.

    Contact us

    Tell your idea, request a quote or ask us a question