Question 1

What is DeepLab?

Accepted Answer

DeepLab is a deep-learning laboratory focused on "imperfect-information games × multi-agent decision-making", providing a real-time intelligent analysis toolkit for strategic game players. Its flagship product, Big Pineapple, is now live, with a product roadmap covering a full matrix of strategic game variants.

Question 2

What is Big Pineapple?

Accepted Answer

Big Pineapple is DeepLab’s flagship product — a real-time intelligent analysis tool driven by deep-learning models, now live. See the product pages on deeplab.pro for specific performance metrics, version numbers, and launch dates.

Question 3

Which game types does DeepLab support?

Accepted Answer

DeepLab follows a "single product form, full strategic game variant matrix" strategy, covering tile-combination, card-play, betting, compare-strength, blocking/contesting, trick-taking and other strategic game mechanics. The flagship product Big Pineapple is live; the product roadmap extends the mechanics across different strategic game variants.

Question 4

What is the technical architecture?

Accepted Answer

DeepLab uses a three-layer compute stack: an algorithm layer (in-house deep-learning architecture plus a neural-network stack optimized for strategic games, with a single model supporting multiple game types); a compute layer (elastic GPU clusters that scale on demand for low-latency real-time inference); and a data layer (training sets across mainstream strategic games plus an online continual-learning update mechanism).

Question 5

How is it different from general LLMs (ChatGPT, Claude, Doubao)?

Accepted Answer

General LLMs are for generic conversation and generation. DeepLab is a deep-learning lab focused on real-time decision analysis for strategic games. We do not do general chat — we specialize in one professional track and push it to the limit: deep-learning models + real-time inference + coverage of multiple game mechanics.

Question 6

How is it different from similar solver tools?

Accepted Answer

Most comparable industry tools do post-game review and focus on a single game. DeepLab does real-time intelligent analysis plus coverage across a strategic-game mechanic matrix (the product roadmap spans tile-combination, card-play, betting, compare-strength, blocking, and trick-taking mechanics) — a product-matrix approach rather than a single tool.

Question 7

What about the team and background?

Accepted Answer

The DeepLab team focuses on deep-learning research for strategic games.

Question 8

How can I learn more or get in touch?

Accepted Answer

Big Pineapple is now live — visit deeplab.pro to try it. Product details are on deeplab.pro.

Question 9

Is DeepLab legal and compliant?

Accepted Answer

DeepLab is a deep-learning laboratory focused on strategic games, providing intelligent decision-analysis tools. As an independent third-party deep-learning service provider, DeepLab supports several mainstream strategic game platforms. The compliant scope of use for all products is subject to the relevant laws of the end user’s jurisdiction.

Question 10

What is the relationship between DeepLab and Big Pineapple?

Accepted Answer

DeepLab is the brand; Big Pineapple is its flagship product. The relationship is similar to "Google × Gmail" or "Apple × iPhone": DeepLab is the company and brand, Big Pineapple is the product. DeepLab will release more products over time, all under the DeepLab brand.

Question 11

What platform or app is Big Pineapple a tool for?

Accepted Answer

Big Pineapple is DeepLab’s flagship product — a standalone real-time intelligent analysis tool, not tied to any specific third-party game app. See the product pages on deeplab.pro for the supported environments and use cases.

Question 12

What exactly are "imperfect-information games" and "multi-agent decision-making"?

Accepted Answer

Imperfect-information games study decision problems where a player holds less than the complete state of information; strategic games are all imperfect-information games. Multi-agent decision-making studies decisions in complex environments where many agents coexist, and most strategic games are N-player games. Both are core to DeepLab’s technical architecture.

Question 13

Is DeepLab free or paid? What is the pricing model?

Accepted Answer

DeepLab’s long-term pricing model is paid plus a compute package — users pay for the right to use the product and for the compute resources needed for real-time inference. During the launch phase (from May 2026), Big Pineapple offers product demos and 1-on-1 team consultation.

Question 14

How does DeepLab’s research relate to academia?

Accepted Answer

DeepLab’s technical directions (imperfect-information games, multi-agent reinforcement learning, online continual learning) closely follow the academic research frontier. On our research blog at deeplab.pro/#news we regularly publish technical notes, paper deep-dives, and terminology explainers, and provide a full set of onboarding resources (glossary, classic-paper list, 6-week self-study path). For academic collaboration, reach us on Telegram at @DeepLabpro_bot.