DeepPavlov

What DeepPavlov does

DeepPavlov is an open-source conversational AI framework developed by a research team at the Moscow Institute of Physics and Technology (MIPT) under Mikhail Burtsev. The framework provides pre-trained NLP models (BERT and other transformer architectures), a multi-skill dialog management layer (DeepPavlov Agent), the DREAM open-domain socialbot, the Dialog Flow Framework (DFF), and supporting components including KBQA, ODQA, Go-Bot, and a Relation Extraction model. It supports both TensorFlow and PyTorch backends and is packaged for deployment via Python API, REST API, CLI, Docker Hub, and the NVIDIA NGC catalog, where optimized GPU containers deliver up to 20X speedups.

The project targets ML/NLP engineers and researchers building production-ready chatbots and virtual assistants, with secondary use by enterprises deploying conversational AI infrastructure. Distribution is community-led via GitHub, PyPI, Docker Hub, NVIDIA NGC, Google Colab, Medium, Telegram, and a dedicated forum. DeepPavlov has been featured in major competitions including Amazon's Alexa Prize Socialbot Grand Challenges 3 and 4, Google's DSTC8, and the Up Great READ//ABLE contest (won in 2020 and 2021), and holds 2 NLP patents with 60+ scientific publications and 100+ conference presentations.

DeepPavlov operates under the Apache License 2.0 with no commercial pricing tier and no disclosed revenue model. Operating funding is derived from competition grants (Alexa Prize), prize funds (Up Great READ//ABLE), a 2016 Facebook GPU servers grant, and institutional support from MIPT. The organization is classified as non-profit with 11-50 employees and is not pursuing a traditional venture-backed commercialization strategy.

Name

DeepPavlov

Legal name

DeepPavlov

Website

https://deeppavlov.ai

Company type

Private

Founded year

2017

Operating status

Operating

Headcount range

11–50 employees

Short description

DeepPavlov is an open-source conversational AI framework developed at the Moscow Institute of Physics and Technology that provides pre-trained NLP models, multi-skill dialog management, and socialbot capabilities to developers and NLP researchers under Apache License 2.0.

Ownership category

akta.pro rank

Product category

Conversational AI Framework

NAICS

Software Publishers (5132), Software Publishers (51321)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

Conversational AI Platforms (chat/voice bots, orchestration) (HDAAAFAC)

akta.pro secondary industries

Conversational NLP & Dialogue Management (chatbots, agents) (HDAAADAF), AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ)

Keywords

• Open-source NLP framework
• Conversational AI platform
• Dialogue system development
• Pretrained language models
• Multi-skill chatbot orchestration

Headquarters

HQ city

Dolgoprudnyy

HQ country

Russia

HQ region

Europe

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Infrastructure, Operations

Revenue model

1. Open Source Framework (No Direct Revenue): DeepPavlov is an open-source project with no disclosed commercial revenue model. The project operates as an academic/research initiative primarily funded through competition prizes (Alexa Prize grants) and institutional support from Moscow Institute of Physics and Technology.

Go-to-market motion1 record

Distribution channels5 records

Marketing channels6 records

Core offering

DeepPavlov develops and distributes an open-source Conversational AI framework for building chatbots and virtual assistants. The framework includes pre-trained NLP/NLU models (BERT-based classifiers, NER, Q&A), multi-skill dialog management (DeepPavlov Agent), Python-based scenario scripting (DFF), and production-ready deployment via REST API, CLI, and Docker containers. It is offered free under Apache License 2.0 to ML engineers, NLP researchers, and enterprises building conversational systems.

Product overview

DeepPavlov is an open-source Conversational AI stack consisting of multiple interconnected products. The core offering is the DeepPavlov Library, an open source framework for chatbots and virtual assistants development. Built upon this are DeepPavlov Agent for multi-skill dialog management and the Dialog Flow Framework (DFF) for building scenario-driven skills. The DREAM Socialbot provides the reference implementation. Additional components include Go-Bot for goal-oriented bots, KBQA for knowledge base question answering, ODQA for open-domain question answering, and the Relation Extraction model. DeepPavlov also maintains datasets including DeepPavlov Topics and Dream Dialogues for research and development.

Differentiator

Problem solved

Functional benefit

Brands

• DeepPavlov Library: Open source conversational AI framework for building chatbots and virtual assistants
• DeepPavlov Agent
• DREAM
• DFF (Dialog Flow Framework)

Products and services

• DeepPavlov Library Open-source conversational AI framework providing pre-trained NLP/NLU models for classification, NER, Q&A, and other NLP tasks. Built on BERT and transformer architectures with TensorFlow and PyTorch support. Targeted at ML/NLP engineers, researchers, and enterprises building production-ready chatbots and virtual assistants.
• DeepPavlov Agent Multi-skill dialog management system enabling industrial conversational AI solutions with multi-skill integration via API services. Allows developers to build complex conversational assistants orchestrating multiple NLP skills.
• Dialog Flow Framework (DFF) Open-source Python software stack for creating chatbots with flexible scenario scripting using an expressive DSL in Python. Includes Dialog Flow Engine, Addon System, and SDK. Designed for developers building skill-based conversational flows.
• DREAM Socialbot Open-domain multi-skill socialbot platform developed through Amazon Alexa Prize challenges. Provides reference implementation for open-ended conversational AI with dialogue datasets available for research.
• DeepPavlov Topics Dataset Dataset for topic classification in conversational domain, automatically collected and filtered from websites and open datasets. Available for research and development of conversational AI systems.
• Dream Dialogues Dataset Dialogue corpus collected from DeepPavlov Dream Socialbot interactions. Available for personal and non-commercial research use in English.

Quantifiable outcome

• Up to 20X speedups in NLP applications using optimized Docker containers
• +1 more outcomes

Segments3 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration2 records

AI capability6 records

Feature8 records

Partnerships

Eight partnerships are on record, tiered flagship, core and minor.

• AmazonflagshipStrategic or Co-development PartnerDeepPavlov participated in Amazon Alexa Prize Socialbot Grand Challenge 3 (2019) and Grand Challenge 4 (2020-2021), building the DREAM socialbot. Amazon provided grants and platform access for development of conversational AI technology.
• GooglecoreStrategic or Co-development PartnerDeepPavlov competed in Dialog State Tracking Challenge 8 (DSTC8) organized by Google. The GOLOMB dialogue state tracker was developed as part of this competition, achieving 53.97% joint goal accuracy on the SGD dataset.
• NVIDIAcoreTechnology or IntegrationDeepPavlov models are packaged as optimized GPU containers hosted on NVIDIA NGC catalog, enabling up to 20X speedups in NLP applications.
• Université de MontréalminorStrategic or Co-development PartnerAcademic research collaboration in conversational intelligence challenges and competitions.
• McGill UniversityminorStrategic or Co-development PartnerAcademic partner in Conversational Intelligence Challenge together with Université de Montréal and Carnegie Mellon.
• Carnegie Mellon UniversityminorStrategic or Co-development PartnerAcademic partner in Conversational Intelligence Challenge with Facebook support, selected in NeurIPS competition track.
• Moscow Institute of Physics and Technology (MIPT)coreStrategic or Co-development PartnerDeepPavlov is an open-source Conversational AI stack developed by the MIPT team. MIPT provides institutional support and houses the core research team.
• Yandex ResearchminorStrategic or Co-development PartnerResearch collaboration in NLP and conversational AI as part of the DeepPavlov research network.

Scale indicators6 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• Rasa: Rasa is the leading open-source conversational AI framework, offering NLU, dialog management, and a comparable developer stack targeting exactly the same ML engineers and chatbot builders as DeepPavlov.
• Botpress: Botpress is an open-source chatbot development platform with visual conversation design and developer tooling, addressing the same enterprise chatbot builder audience with a comparable deployment model.

Broad incumbents

• Google Dialogflow: Google Dialogflow (now part of Vertex AI) is a managed conversational AI platform with NLU, dialog management, and integrations, targeting the same enterprise virtual-assistant market with hyperscale reach.
• Microsoft Copilot Studio (Bot Framework): Microsoft's Bot Framework / Copilot Studio is a broad enterprise conversational AI stack for building, deploying, and orchestrating bots, competing with DeepPavlov in enterprise virtual-assistant deployments.
• Wit.ai (Meta): Wit.ai is Meta's natural language platform for building conversational interfaces, offering comparable NLU, intent, and entity extraction capabilities primarily as a free developer service.
• Amazon Lex: Amazon Lex is the AWS-managed conversational AI service powering Alexa, offering NLU and dialog management comparable to DeepPavlov's stack within a hyperscaler ecosystem.
• IBM watsonx Assistant: IBM watsonx Assistant is an enterprise conversational AI platform with NLU, dialog, and integration capabilities targeting the same large-enterprise virtual-assistant market as DeepPavlov.

Emerging players

• Hugging Face: Hugging Face provides open-source NLP model infrastructure and hosting used by the same NLP/ML developer audience, increasingly overlapping with DeepPavlov's core constituency for conversational model deployment.
• ParlAI (Meta AI): ParlAI is Meta's open-source framework for dialog research, sharing the research/academic orientation, multi-skill dialog tooling, and community-driven model sharing ethos with DeepPavlov.
• John Snow Labs Spark NLP: Spark NLP is an open-source NLP library for production pipelines, overlapping with DeepPavlov on BERT-based NLU, NER, and question-answering components for enterprise NLP builders.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• GitHubgithub.com/deepmipt/DeepPavlov
• YouTubeyoutube.com/channel/UCwVs5kmtdbENBYjC2pQ-C8Q
• LinkedInlinkedin.com/company/deeppavlov
• Xx.com/deeppavlov

Revenue estimate

Valuation estimate

Number of profiles

Profiles5 records

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about DeepPavlov