Big Tech and Scaleup
expertise for tailored engagement
Tap into our elite network of 6,000+ leading experts from Big Techs and Scaleups to find tech and business professionals for a scoped consulting with clear deliverables
time from consulting project
posted to candidates intro
48 hours
7+ years
average relevant functional and industry experience
1,500+ AI experts
including AI engineers, AI Product Managers, Data Scientists and etc.
Consulting
Trusted by
Deep expertise across various functional domains
Edtech & Education
  • Multi-product ecosystem serving ages 4-60+ from pre-K to professional skills with 45+m users in Europe, LatAm and USA

  • Upskilling platforms in LatAm and CIS countries with 15m users

  • Online K-12 education platform with 14m active students
400+ experts
Mobility
  • Ride-hailing service used in 25 countries with 49m MAU

  • Free-floating car-sharing service with 18k vehicles

  • Created map and navigation service provider with 43m MAU
500+ experts
Fintech & Banking
  • World's best digital bank 2020 award winner with 40m+ users

  • Super App with 13m daily active users and cashback program
700+ experts
Big Tech ecosystems of products are mature and vast, which allows finding almost any functional and industry to meet diverse business needs
Data Analytics
Software Engineering
Product
Software Engineering
AI
  • Ranked as the 3rd most popular search engine worldwide by market share across all platforms

  • 4 voice assistants powered by LLMs with 110m+ monthly active users combined
1,000+ experts
Machine Learning
Product
DevOps
Machine Learning
Marketing
DevOps
Marketing
Data Analytics
E-commerce & Retail
  • Most visited classified in the world as Sep'24

  • Marketplace with 350m+ unique items and 2m+ merchants
1,750+ experts
Engeering Manager
18+ years of experience
VP
of Product
10+ years of experience
Lead Software Engineer
14+ years of experience
Chief Marketing Officer
11+ years of experience
Consulting expertise lineup
HR, Business Development, Cybersecurity coming soon...
Software Engineering
  • Tech Audit: Assess infrastructure & architecture and prepare a ramp-up plan.
  • Technology Roadmaps: Prepare tech vision and align it with business goals.
  • Cloud Migration: Evaluate migration plans and monitor execution.
  • Infrastructure Development: Consult on scalable IT infrastructure design. to support business growth.
Product Development
  • Product-Market Fit: Evaluate how well your product aligns with customer needs and desires.
  • Product Roadmap: Create and prioritize a roadmap aligned with business objectives.
  • Generative AI Strategy: Develop a roadmap for Generative AI hypothesis testing.
  • Market Research: Analyze trends and preferences to guide product decisions.
Marketing
  • Go-to-Market Strategy: Advise on effective go-to-market plans.
  • Growth Strategy: Identify growth loops and develop set of hypothesis to test
  • Marketing Performance Evaluation: Assess marketing performance, initiatives and provide recommendations.
Machine Learning
  • Building a Team: Optimize hiring processes hiring process by developing candidate requirements, evaluation CVs, conducting interviews, and ML team structure impovement
  • MLOps: Guide on fine-tuning techniques and learning startegies, cloud & inference platfrom setup, and best practices for model training.
  • Generative AI: Analyze approaches for use cases, consult on LLM implementation and RAG development.
  • ML Application: Design tailored solutions in Computer Vision, NLP, RecSystems, Voice Assistants and etc.
DevOps
  • Infrastructure Management: Automate infrastructure provisioning with IaC and configuration.
  • CI/CD: Set up and optimize continuous integration and delivery pipelines.
  • Performance and Reliability Engineering: Assess service performance to identify bottlenecks and auto-scaling or introduce chaos engineering practices
Data Analytics
  • Discovery Assessment: Evaluate data infrastructure for efficiency and reliability.
  • Data Engineering: Consult on data pipeline development and ETL processing.
  • Product Analytics: Develop predictive models for retention and assess customer journeys.
  • Marketing Analytics: Analyze marketing funnels to identify bottlenecks and optimize conversion.
HR, Business Development, Cybersecurity coming soon...
How it works
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3
Kick-off and monitor task execution
4
Seat back and enjoy the result
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Review the proposal and select an expert
3
Kick-off and monitor task execution
4
Seat back and enjoy the result
1
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Trusted by
Evgeny Chernikov
COO at Yango Tech
Yango Tech
Fractional VP of Sales for the Leading Grocery E-commerce Software Provider
GenAI Adoption for Retail, Healthcare and Banking
Yandex.Cloud
Buddy.ai
Consultant, an Engineering Manager, for the Leading AI Tutor for Children
Gurudev Capital
AI Experts for Due Diligence in London-based VC Funds
Yandex.Cloud
Yandex Cloud is a public cloud platform that provides infrastructure and cloud computing resources to both private and corporate users through an "as a service" model.

It features a comprehensive suite of machine learning (ML) and artificial intelligence (AI) services specifically designed for enterprise clients. Yandex Cloud has partnered with our experts to leverage their expertise in implementing generative AI solutions in various industries
Our experts in Business Analytics, Product Development, and Machine Learning (ML) have added significant value in AI adoption for enterprises across various industries:
Retail: 
  • Advanced Search: Enhanced search capabilities integrating various data types.
Healthcare
  • AI-copilot for Doctors: Consulted on the creation of an enterprise search tool and AI assistant powered by Retrieval-Augmented Generation (RAG) that allows users to quickly find answers within the company’s knowledge base and generates concise summaries of the docs.
Banking:
  • AI Hypothesis Prioritization: Identified and prioritized AI implementation hypotheses, conducting competitive research on key metrics and functionality of each initiative.
  • ML System Architecture: Designed an effective architectural scheme for ML systems.
  • Adaptive Search: Implemented adaptive search features in client applications.
  • AI-Enhanced Support: Optimized text and voice-based client support with AI solutions.