The Innovation Game

What The Innovation Game does

The Innovation Game (TIG) is a Berlin-based crypto-economic protocol that coordinates global computational effort toward accelerating algorithmic innovation. Founded in 2022 and launched on mainnet in November 2023, TIG operates a decentralized platform at play.tig.foundation where participants take on one of three roles: Innovators (algorithm developers who submit and optimize proof-of-work algorithms), Benchmarkers (compute workers who select algorithms and produce solutions), and Challenge Owners (domain experts who propose scientific problems). The protocol is built around OPoW (Optimisable Proof of Work), a novel proof-of-work architecture that decouples computational solving from block creation and supports native runtimes on x86_64, aarch64, and CUDA. Verification is handled through Merkle proofs with deterministic runtime signatures for probabilistic validation.

TIG's product surface is a portfolio of 11 computational challenges — eight live on mainnet (Boolean Satisfiability, Vehicle Routing, Quadratic Knapsack, Vector Search, Hypergraph Partitioning, Neural Network Optimizer, Job-Shop Scheduling, Energy Arbitrage) and three on testnet (ZK Circuit Optimization, Influence Maximisation, CUR Decomposition). Each challenge has been co-designed with academic researchers from institutions including Oxford, Polytechnique Montréal, BI Norwegian Business School, and the University of Edinburgh, lending scientific credibility. CryptoEconLab serves as a core strategic partner and Challenge Owner. The native $TIG token (ERC-20 on Base, capped supply 131,040,000) funds a block-reward distribution: 50% to Benchmarkers, 20% to Advance Innovators, 10% to Code Innovators, and 20% to Challenge Owners.

The go-to-market is entirely community-led and self-serve via Discord, X, GitHub, and a community forum. Revenue mechanics are twofold: (i) token-denominated submission fees (10 TIG per code submission, 500 TIG refundable per Advance submission), and (ii) a commercial licensing stream that allows enterprises to license IP developed inside the ecosystem in exchange for TIG-denominated fees, with proceeds reinvested into contributor rewards. There is no traditional sales motion, no disclosed fiat revenue, no external funding, and no named enterprise customers — distribution and adoption are entirely protocol-mediated.

Name

The Innovation Game

Legal name

The Innovation Game

Website

https://tig.foundation

Company type

Private

Founded year

2023

Operating status

Operating

Headcount range

1–10 employees

Short description

The Innovation Game (TIG) is a Berlin-based crypto-economic protocol that uses a novel Optimisable Proof of Work mechanism to coordinate global Innovators, Benchmarkers, and Challenge Owners around 11 computational challenges spanning AI, logistics, cryptography, energy, and combinatorial optimization.

Ownership category

akta.pro rank

Product category

Cryptocurrency Protocol Platform

NAICS

Computer Systems Design Services (541512), Other Computer Related Services (541519)

SIC

Services-Computer Integrated Systems Design (7373), Services-Computer Programming Services (7371)

akta.pro primary industry

Testing, Inspection, Certification & Commissioning (TICx) Technical Services (BPAHAIAL)

Keywords

• Decentralized proof of work
• Algorithm optimization challenges
• Crypto-economic protocol
• Computational benchmarking network
• Algorithmic innovation platform

Headquarters

HQ city

Berlin

HQ country

Germany

HQ region

Europe

Markets served

GTM type

B2B and B2C

Offering type

Software

Cost components

Technology or R&D, Personnel, Infrastructure, Operations, Marketing or Sales

Revenue model

1. Token Emission & Block Rewards: Protocol distributes block rewards to participants from the total token supply of 131,040,000 TIG. Rewards are allocated: 50% to Benchmarkers, 20% to Advance Innovators, 10% to Code Innovators, 10% base Challenge Owner rewards, and 10% performance Challenge Owner rewards.
2. Commercial Licensing Fees: The TIG Commercial License permits commercial use of IP developed within the ecosystem without sharing data or code, in exchange for fees payable in TIG tokens. Revenue is reinvested into the ecosystem to reward contributors.

Pricing tiers

Go-to-market motion2 records

Distribution channels1 record

Marketing channels6 records

Core offering

The Innovation Game (TIG) is a crypto-economic protocol that accelerates algorithmic innovation by coordinating global computational resources through a portfolio of optimization challenges. The platform uses a novel Optimisable Proof of Work (OPoW) mechanism and token-based incentives to coordinate three participant types: Innovators (submitting algorithms), Benchmarkers (performing computational work), and Challenge Owners (proposing scientific challenges from domains such as AI, cryptography, logistics, and energy).

Product overview

The Innovation Game (TIG) is a crypto-economic protocol for accelerating algorithmic innovation. The platform operates as a portfolio of computational challenges (each a proof-of-work adapted as an optimization problem) combined with a crypto-economic incentive structure. TIG's architecture includes eleven distinct challenge products: eight are live on mainnet (Boolean Satisfiability, Vehicle Routing, Quadratic Knapsack, Vector Search, Hypergraph Partitioning, Neural Network Optimizer, Job-Shop Scheduling, and Energy Arbitrage) and three are on testnet (ZK Circuit Optimization, Influence Maximisation, and CUR Decomposition). Participants engage as Benchmarkers (who compute solutions), Innovators (who submit algorithms), and Challenge Owners (who propose challenges). The TIG Protocol ties these together through OPoW (Optimizable Proof of Work), token-based rewards, and a decentralized repository system.

Differentiator

Problem solved

Functional benefit

Products and services

• TIG Protocol The core decentralized platform combining the Optimisable Proof of Work (OPoW) mechanism with a crypto-economic incentive structure to coordinate global algorithmic innovation through challenges, Benchmarkers, and Innovators.
• Boolean Satisfiability (SAT) Challenge Computational challenge (C001) live on mainnet where participants solve Boolean satisfiability problems to help design more effective microchips. Applications include computational biology and electronic circuit design.
• Vehicle Routing Challenge Vehicle Routing Problem with Time Windows (VRPTW) challenge (C002) that optimizes routes within specific time limits, supporting logistics, e-commerce delivery, and emergency response applications.
• Quadratic Knapsack Challenge Quadratic Knapsack Problem challenge (C003) that maximizes value with weight constraints plus pair interaction values, used in gene expression analysis and resource allocation.
• Vector Search Challenge Vector Range Search challenge (C004) for threshold-based anomaly detection using 250-dimensional vectors and Euclidean distance metrics, supporting semantic web search and network security.
• Hypergraph Partitioning Challenge Balanced hypergraph partitioning challenge (C005) that minimizes cross-part connections for parallel computing, VLSI circuit design, and distributed AI training workloads.
• Neural Network Optimizer Challenge Challenge (C006) to implement performant optimizers that accelerate neural network training while meeting test-loss thresholds, impacting AI model development across domains.
• Job-Shop Scheduling Challenge Flexible Job-Shop Scheduling Problem (FJSP) challenge (C007) that optimizes manufacturing schedules with complex job routing and machine assignments to minimize completion time.
• Energy Arbitrage Challenge Challenge (C008) to optimize profit of distributed battery portfolios through strategic energy charge/discharge, coordinating dispatch across transmission-constrained networks.
• ZK Circuit Optimization Challenge Challenge to accelerate zero-knowledge proof systems by optimizing R1CS circuit designs to reduce proof generation times, currently live on testnet.
• Influence Maximisation Challenge Challenge to identify nodes that maximize influence across large-scale social networks for marketing, public health, and misinformation control applications, currently on testnet.
• CUR Decomposition Challenge Challenge to decompose large matrices into low-rank approximations using CUR methods for enhanced data analysis in genomics and recommender systems, currently on testnet.
• TIG Commercial License Permits commercial use of IP developed within the TIG ecosystem without sharing data or code, in exchange for fees payable in TIG tokens. Revenue is reinvested into the ecosystem to reward contributors.

Quantifiable outcome

• TIG algorithms demonstrate 21x better solution quality compared to QKBP (2025) state-of-the-art methods after round 64
• +2 more outcomes

Named customers3 records

Segments4 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability13 records

Feature6 records

Partnerships

Nine partnerships are on record, tiered core and minor.

• CryptoEconLab (CEL)coreStrategic or Co-development PartnerCryptoEconLab serves as Challenge Owner for ZK-Proof Circuit Optimization and Energy Arbitrage challenges. CEL provides end-to-end protocol advisory over the lifecycle of projects, from design to validation and governance. They have proven impact trusted by 20+ projects and are responsible for $1B+ in value. Their expertise spans token economy design, emission algorithms, adverse incentive mitigation, market and auction design, and smart contract development.
• Dr. Thibaut VidalcoreOthersChallenge Owner & Designer for Vehicle Routing challenge. Professor at Polytechnique Montréal with SCALE AI Research Chair. Created widely-used vehicle-routing benchmarks and led competitions setting global standards. Co-created influential open-source algorithms.
• Dr. Karim TamssaouetcoreOthersChallenge Owner & Designer for Job-Shop Scheduling challenge. Associate Professor of Operations Research at BI Norwegian Business School and Co-Founder of Planimize. Research bridges operations research and industrial engineering.
• Dr. Yuji NakatsukasaminorOthersChallenge Designer for CUR Decomposition challenge. Mathematics researcher at University of Oxford.
• Dr. Tasuku SomaminorOthersChallenge Designer for Hypergraph Partitioning and Influence Maximisation challenges.
• Dr. Philipp BaumannminorOthersChallenge Designer for Quadratic Knapsack challenge.
• Dr. David LiuminorOthersChallenge Designer for Neural Network Training Optimization challenge.
• Dr. Henrique Helfer HoeltgebaumminorOthersChallenge Designer for Energy Arbitrage challenge.
• Dr. Carlo Modica and Dr. Wisdom OgwuminorOthersChallenge Designers for ZK Circuit Optimization challenge.

Scale indicators4 records

Recent moves6 records

Expansion highlights5 records

Direct peers

• Numerai: Numerai runs a crowdsourced hedge fund where data scientists submit predictive models and earn cryptocurrency (NMR) rewards based on performance—directly comparable to TIG's model of compensating Innovators with tokens for algorithmic contributions. Both use tournament-style incentives to coordinate global algorithmic talent.
• Bittensor: Bittensor is a decentralized AI network where miners submit machine learning models and earn TAO tokens based on ranked performance across subnet challenges—sharing TIG's proof-of-work-adapted-to-optimization architecture and token-reward mechanism for distributed algorithmic innovation.
• Ocean Protocol: Ocean Protocol tokenizes data assets and rewards data providers via OCEAN tokens through data NFTs and datatokens—sharing TIG's crypto-economic model for coordinating global supply of intellectual contributions (data vs. algorithms) via tokenized incentive structures.
• Livepeer: Livepeer coordinates distributed video transcoding infrastructure where operators stake LPT and earn fees for performing compute work—comparable to TIG's decentralized proof-of-work network where Benchmarkers stake and earn tokens for delivering computational output against verifiable challenges.
• Akash Network: Akash is a decentralized cloud compute marketplace using a reverse auction model where providers bid AKT-priced resources—sharing TIG's model of token-based coordination of distributed computational supply for specific workloads.
• Render Network: Render decentralizes GPU compute for rendering tasks, paying contributors in RNDR tokens for supplying computational work—comparable to TIG's Benchmarker role where participants perform computational work and earn token rewards. Both are crypto-incentivized marketplaces for distributed compute applied to specific problem domains.

Emerging players

• Fetch.ai: Fetch.ai builds a decentralized machine learning network with autonomous agents contributing to collective intelligence, paid in FET tokens—partial overlap with TIG's Neural Network Training Optimization challenge but Fetch focuses on agent coordination rather than optimization algorithm competitions.
• Flux: Flux is a decentralized compute network providing GPU cloud infrastructure with FLUX token rewards for node operators—overlapping with TIG's CUDA architecture support but focused on general-purpose GPU rental rather than algorithm-specific optimization benchmarks.
• Alephium: Alephium is a proof-of-work blockchain with novel sharding and energy-efficient consensus, also founded by academics/researchers—partial overlap with TIG's protocol-level research pedigree and proof-of-work innovation, though focused on L1 blockchain rather than useful-work optimization.

Broad incumbents

• Filecoin: Filecoin is a much larger decentralized storage network where miners prove storage of data via proof-of-replication and proof-of-spacetime to earn FIL—TIG's OPoW is a conceptual analog adapting proof-of-work to useful algorithmic optimization rather than hash puzzles, but Filecoin represents a more established proof-of-X crypto network.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/tigfoundation
• GitHubgithub.com/tig-foundation/tig-monorepo

Revenue estimate

Valuation estimate

Number of profiles

Profiles8 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 The Innovation Game