VOYGR: Real-world place intelligence for AI apps and agents

Real-world place intelligence for AI apps and agents

VOYGR helps AI apps and agents understand and act in the real world with comprehensive place data. Unlike static mapping APIs, VOYGR combines accurate place intelligence with fresh web context – news, articles, and events. Real-world interactions rely on maps: 10M+ apps/websites, up to 40% of search queries, and 20% of LLM prompts need local context. Yet a restaurant recommendation can fail because the place is closed, menus aren’t searchable, or delivery goes to the wrong entrance. AI pushes expectations further – answering semantic prompts like “specialty coffee shops in SF with Wi-Fi and YC founders", and taking actions like making reservations or placing orders. We’re experienced builders in maps, search, and ML to solve this. Vlad knows this space inside and out – he worked on the Google Maps APIs GTM, plus firsthand customer experience from building in ridesharing and travel. Yarik has spent over a decade leading ML/search teams at Apple, Google, and Meta. Several customers already run VOYGR to continuously validate places data accuracy at scale, and we outperform on accuracy and coverage. Maps were built for humans browsing pins; agents need continuously updated place ground truth they can act on – from copilots and in-car assistants to delivery robots and AR. As agents become the interface to commerce and services, VOYGR aims to be the default ground-truth layer.

Active Founders

Vlad Baskakov

Founder

Vlad is the co-founder and CEO of VOYGR. He brings firsthand experience from Google Maps, where he led Product Strategy and GTM, bootstrapping new API products, shaping Maps–Gemini data sharing, and driving key improvements in merchant experience and offline ads. He has 15+ years of Growth and GM experience across mapping and its core markets – ridesharing and travel. He previously worked at McKinsey and holds an MBA from Harvard.

Vlad Baskakov

Founder

Vlad is the co-founder and CEO of VOYGR. He brings firsthand experience from Google Maps, where he led Product Strategy and GTM, bootstrapping new API products, shaping Maps–Gemini data sharing, and driving key improvements in merchant experience and offline ads. He has 15+ years of Growth and GM experience across mapping and its core markets – ridesharing and travel. He previously worked at McKinsey and holds an MBA from Harvard.

Yarik Markov

Founder

Yarik is the co-founder and CTO of VOYGR. He brings nearly two decades of engineering experience, including over a decade building and leading ML and search teams at Apple, Google, and Meta. He led multiple 0 -> 1 efforts across large-scale search and ranking, ML platforms, and production ML systems - powering products used by hundreds of millions of users.

Yarik Markov

Founder

Yarik is the co-founder and CTO of VOYGR. He brings nearly two decades of engineering experience, including over a decade building and leading ML and search teams at Apple, Google, and Meta. He led multiple 0 -> 1 efforts across large-scale search and ranking, ML platforms, and production ML systems - powering products used by hundreds of millions of users.

Company Launches

VOYGR: Validate & enrich your place data at scale

See original launch post

Hey everyone 👋
We’re Vlad and Yarik, founders of VOYGR.

Have you ever asked ChatGPT for a restaurant recommendation, only to have it suggest a place that hasn’t been open in years?

VOYGR is the most accurate API for companies to validate and enrich their place records at scale. We deliver comprehensive, up-to-date information about places and local businesses for AI apps, agents, and analytics. We also offer far richer place attributes than standard mapping APIs (for example, which sauna Justin Bieber frequents).

https://youtu.be/Q8-SY24490o

👥 Team
Vlad knows this space inside and out – he worked on the Google Maps APIs GTM, plus firsthand customer experience from building in ridesharing and travel. Yarik has spent over a decade leading ML/search teams at Apple, Google, and Meta.

❌ The problem
Real-world interactions rely on mapping data: 15M+ websites, 40% of search queries, and up to 20% of LLM prompts need local context. Yet even a simple restaurant recommendation often fails: the place may no longer exist, there’s no menu-level search, or – god forbid – you need to ask something nuanced (“what’s available that’s gluten free?”).

The gap is place data – it goes stale, and the attributes are shallow. Google Maps API comes with strict terms, but companies need flexible access, plus analytics and the ability to match against proprietary data.

✅ Our solution
VOYGR keeps place data accurate and current at scale. We confirm what’s live, resolve inconsistencies, and combine rich, fresh web context like news, articles, and events.

Place validation & operating status – Confirm a place exists and is currently operating. We detect discrepancies, rebrands, and closures.
Place data enrichment – Populate and continuously enrich place records using web, social, and authoritative data sources, from foundational attributes (address, category, contacts, web presence) to operating data (hours, features, amenities, etc.).

🎯 Who it’s for
Teams with large-scale place data and real-world ops: mapping, geospatial analytics, transportation & logistics, search/discovery apps. We support a broad range of industry workflows: transaction enrichment for banks and issuers, property indexing for real estate, site selection for retail, sales territory planning, ads measurement, and more.

🤝 Our ask
We’re looking for customers and design partners who have place datasets and high freshness requirements. If you’re building anything where “local” matters, we’d love to talk!

📩 founders@voygr.tech
🌐 voygr.tech

Maps tag places – VOYGR understands.

uploaded image