$1B+ On-chain Value
ORBT Protocol
“Surgence was a pleasure to work with, executing full-scale marketing and product campaigns that generated $1B+ in community on-chain value.”
Connor
CMO, ORBT Protocol
AI & Agent Platforms Growth
Community Growth, Token Demand and Distribution for AI & Agent Platforms
Community growth, token demand engineering, and distribution programs for AI-native and agentic Web3 platforms. One partner. Every channel. Every metric verifiable on-chain or in agent activity.
Builder mindshareAgent activityToken utilityIntegration launches
Agent GTM console
live model
Utility graph
Demand tied to agent activity
Calls
8.4M
Agents
1,920
Staked
41%
Launches
27
Builder
docsfirst agent
42 shipped
Researcher
paperrepo
18 citations
Trader
mindsharestake
#1 push
Partner
SDKco-launch
9 launches
verified surfaces
repoonchainleaderboardSDKanalyst
$1B+
On-chain value
#1
Kaito mindshare
20M+
Impressions
200K+
Followers
$12B+
Volume indexed
500+
Campaigns
Web3 receipts
Trusted by teams shipping real on-chain outcomes.
Execution speed, narrative sharpness, and full-funnel systems from protocols with measurable traction.
Leading L1 Ecosystem
IOPn
“Surgence Labs helped scale IOPn's Layer 1 into a leading ecosystem, driving real traction through smart positioning, community building, and full-funnel growth.”
Jimi
Co-Founder, IOPn
$1B+ FDV
QORPO WORLD
“Surgence Labs helped us scale to $1B+ FDV and position the project as one of the leading tokens in Q1. Their Web3 go-to-market execution, community growth strategy, and relentless pace made a measurable difference.”
Rastislav
CEO, QORPO WORLD
Trusted Web3 Partner
DWF Labs
“Few partners match their speed, commitment, and execution quality. They consistently bring fresh perspective and follow through.”
Lydia
Head of Partnerships, DWF Labs
Why Surgence
What Makes Surgence Different for AI & Agent Platforms.
Most agencies sell AI platforms a meme cycle. We sell builder mindshare, integrated agents, and token demand tied to real on-chain activity.
01
Community Growth
Community Growth Across Builders, Researchers, and Traders
AI platforms have three audiences, and most agencies pick one. We architect parallel community programs: builder-led Discord and GitHub engagement, researcher-grade content and Hugging Face presence, and trader-side agent-leaderboard mindshare. Each track reinforces the other, so token holders, integrators, and ML researchers all repeat your pitch.
200K+ Net New Followers
02
Token Demand
Token Demand Engineered Through Real Utility
Token demand starts with utility, not hype. We connect the agent flywheel to the token: staking-secured inference, fee burn, agent-marketplace economics, governance over training data, and reward routing for agent operators. We pair the design narrative with content, analyst coverage, and earned PR so the demand story is legible to the next buyer of the token, not just the last one.
$1B+ On-Chain Value
03
Distribution
Distribution as a Series of Integration Launches
Every chain, dApp, wallet, and data network is a potential distribution surface for your agents. We build the integration roadmap, then run each integration as a co-marketing launch. Distribution compounds when every partnership ships with a launch playbook.
$12B+ Volume Indexed
04
Specialist-Only
Built by Specialists Who Read AI Papers and Yellow Papers
AI-crypto marketing fails when the marketers can't tell a transformer from a Merkle tree. Our team understands the difference between an agent framework and an inference network, between a training-data DAO and an agent marketplace, between TEE-secured inference and ZKML. Every claim we publish is verifiable in a paper, a repo, or onchain.
Specialist-Only
Services
Services for AI & Agent Platforms.
Four pillars. One growth system. Pick the engagement that fits your stage.
01
Community Growth
- Builder Discord and GitHub engagement programs
- Hugging Face and ML-research community outreach
- Agent-leaderboard and mindshare campaigns
- Regional and language-localized community ops
- Developer ambassador and contributor programs
- Founder thought-leadership and Spaces booking
02
Token Demand Engineering
- Token-utility narrative
- Pre-TGE mindshare and leaderboard programs
- Listing strategy across CEXs, DEXs, and aggregators
- Holder retention by cohort and chain
- Analyst-desk and research-house coverage
- Treasury and market-maker introductions
03
Distribution & Integrations
- Integration roadmap with Solana, Base, Arbitrum, BNB, XRPL, and Hyperliquid
- dApp, wallet, and data-network partnership BD
- Co-marketing playbooks for each integration launch
- Agent-marketplace listing and discoverability programs
- SDK and developer-tooling launch campaigns
- Cross-platform agent showcase content
04
Community & Retention
- Discord, Telegram, and Farcaster ecosystem ops
- Validator, operator, and contributor governance flows
- Agent-builder grants and bounty programs
- Sentiment monitoring and crisis response
- Cross-protocol community partnership programs
AI & Agent Platforms We Serve
Agent economies, compute networks, model markets, and everything between.
Decentralized AI NetworksAgent FrameworksAgent MarketplacesInference NetworksTraining Data DAOsZKML PlatformsTEE-Secured AIAI-DePIN ComputeAgent-Powered DeFiAI Trading AgentsModel MarketplacesAI OraclesVerifiable ComputeMulti-Agent Orchestration
Methodology
How We Approach Growth for AI & Agent Platforms.
Systems-level growth for agent economies. We don't sell content calendars.
System 01
We Architect Token Utility Before Token Hype
Before any leaderboard push, we clarify the utility wedge: what does the token secure, what does it route, what does it pay for. Every channel reinforces the same utility story, so the next buyer can defend the demand to themselves.
System 02
We Map Channels to the Builder, Trader, and Researcher Journeys
Every channel is mapped to a stage of one of three journeys: builders go from docs read to first agent shipped to integrated; traders go from leaderboard to wallet connect to staked; researchers go from paper to repo to deployed. We track conversion at every step.
System 03
We Measure Onchain and Off-Chain Outcomes
Active builders by week. Agents deployed. Inference calls. Token holders by cohort. Staked supply. Integration launches. GitHub stars. We report what your data team would report, verifiable in repos, onchain, or in agent activity.
System 04
We Vet Every Integration and KOL for Credibility
Trust compounds in agent ecosystems. We evaluate technical influencers by GitHub and Hugging Face activity. We screen integration partners by deployment track record. We pursue listings and analyst coverage that reach actual builders and token holders, not vanity logos.
Engagement
How an Engagement Works.
Audit, strategy, execution, optimization. One operating cadence from first gap report to board-ready metrics.
01
Week 1 to 2
Discovery & Audit
Deep audit on your platform: builder activity, agents deployed, token-utility narrative, mindshare footprint, integration map, GitHub and Hugging Face health, analyst coverage, and competitor benchmarking. You receive a dated growth-gap report with the top three levers ranked by expected impact.
02
Week 2 to 4
Strategy & GTM Design
Custom GTM playbook covering token-utility narrative, channel mix across builder/trader/researcher tracks, integration roadmap, leaderboard strategy, and quarterly KPI framework. Your team owns the playbook; we own the execution.
03
Week 4 onwards
Execution & Distribution
40+ specialists run the system in parallel. Builder programs activate, leaderboard pushes launch, integrations ship as co-marketing events, analyst desks brief, and technical content lands. One Slack channel, one weekly stand-up, one roadmap.
04
Ongoing
Optimization & Scaling
Weekly tracking on builders, agents, integrations, holders, mindshare, and inference / on-chain volume. Underperforming channels get cut. Winning loops get scaled. Monthly board-ready reporting for token holders and investors.
Case studies
AI & Agent Case Studies.
Real platforms. Real on-chain receipts.
Case 01
ORBT Protocol
DeFi · Onchain Reputation
Co-built a viral product loop that turned wallet history into shareable on-chain reputation, the same agent-meets-distribution mechanic an AI platform plugs into to convert mindshare into onchain activity.
200,000+ Net New Followers
70,000+ DeFi Score Cards Shared
$12B+ DEX Volume Indexed
$1B+ Community On-Chain Value
Case 02
Falcon Finance
DeFi · Stablecoin
Architected yield narrative, mindshare, and depositor acquisition for a category-leading product launch, the same playbook AI platforms use to convert leaderboard mindshare into token demand.
10M+ Campaign Impressions
#1 Kaito Mindshare
$2B+ TVL
Case 03
IOPn
Layer 1
Scaled an L1 ecosystem through smart positioning, community building, and full-funnel growth, the foundational ecosystem motion that supports any agent-platform rollup or integration push.
Leading L1 Ecosystem
Full-funnel positioning
Mainnet-ready community
FAQ
Frequently Asked Questions.
01What kinds of AI & agent platforms do you work with?+
Decentralized AI networks, agent frameworks, agent marketplaces, inference networks, training-data DAOs, ZKML and TEE platforms, AI-DePIN compute, AI oracles, verifiable compute, agent-powered DeFi, and multi-agent orchestration.
02How is marketing an AI platform different from marketing a regular protocol?+
You serve three audiences at once: builders, ML researchers, and traders. The wedge has to read on Hugging Face and on Kaito at the same time. Token demand has to be defensible against pure-narrative competitors, which means utility comes first.
03Can you actually move token demand, or just impressions?+
We engineer demand from utility: token-secured inference, fee burn, staking flows, governance over data, and agent-reward routing. We pair the design narrative with analyst, KOL, and earned-PR distribution so the next buyer can defend the demand.
04Do you handle Kaito mindshare and pre-TGE leaderboard pushes?+
Yes. We run mindshare programs end-to-end: content cadence, KOL alignment, narrative architecture, analyst engagement. We've supported a Kaito #1 mindshare push in an adjacent vertical.
05How do you handle integration launches?+
Each integration is a co-marketing event with a deliverable list (joint blog, X spaces, demo video, post-launch retention sequence) and a measurement plan tied to wallet activity, agent calls, or builder sign-ups on the partner platform.
06How long until we see results?+
Builder and mindshare signal in 30 to 45 days. Integration-launch impact in 60 to 120 days. Token-demand and listing cycles run 60 to 180 days. Sustainable retention compounds over quarters. We share weekly KPI reporting from week one.
07Which channels actually drive AI-platform growth right now?+
Builder Discord and GitHub engagement, Hugging Face presence, Kaito and Polymarket mindshare, agent-leaderboard meta, X technical content, Farcaster, dev-influencer outreach, analyst-desk and research-house coverage, conference keynotes, and integration launches.
08How do you measure ROI?+
Active builders, agents deployed, inference / on-chain activity, token-holder cohorts, staked supply, integration launches, GitHub stars, and mindshare. Monthly reporting is structured so that token holders, investors, and the foundation can all defend the spend.
Free AI & Agent Platform Audit
Ready to Engineer Community Growth, Token Demand, and Distribution?
Book a call. We'll start with a free AI & agent platform audit covering builder activity, agents deployed, token-utility narrative, mindshare footprint, integration map, and competitor benchmarking, then rank the three biggest growth levers for your platform by expected impact. No deck, no pitch.
