The future of
performance
is collective.
Human performance optimization is shifting from individuals to teams. AI doesn't replace humans — it multiplies them. Assemble and run elite hybrid teams of humans and AI agents, with incentives aligned by tokenized rewards.
Why Now
Three shifts that make this moment different.
Hiring individuals is breaking.
Modern work is too complex and too fast for single-contributor models. Coordination across skills, timezones, and tools is the real bottleneck — not individual talent.
73%
of high-growth teams cite coordination as their #1 bottleneck
AI tools create compounding team effects.
Hybrid workflows — humans directing agents, agents amplifying humans — consistently outperform either alone. The gap widens as the team matures its AI-human interface.
3–5×
output multiplier observed in mature hybrid team configurations
Org design is decentralizing.
The best talent no longer wants to join companies. They want to join missions. Networks of small, high-trust, outcome-focused teams are outpacing legacy hierarchies.
60%
of knowledge workers prefer project-based over full-time structures
The Thesis
Three trends converging into one protocol.
From individual performance to collective output.
What's changing
- Team reputation is becoming the unit of professional identity
- Clients increasingly hire "team-as-a-service" over solo consultants
- Collective output metrics are replacing individual KPIs
What we enable
- Persistent team profiles with verifiable performance history
- Reputation staking — teams put skin in the game
- Outcome attribution that credits every contributor fairly
AI agents are team members, not just tools.
What's changing
- Role clarity between human and agent is the new org design challenge
- Orchestration layers are replacing static SaaS workflows
- Agent marketplaces will emerge as a major distribution channel
What we enable
- Structured human-agent role definitions within each team
- Agent registry where builders earn from team deployments
- Verification layer that proves agent contributions to outcomes
Networks of micro-teams beat monolithic hierarchies.
What's changing
- Micro-teams co-create and compete in open talent markets
- Tokenized incentives align contribution with upside
- Transparent governance replaces opaque corporate decision-making
What we enable
- Open marketplace for teams to bid on and deliver outcomes
- On-chain incentive distribution — no black-box payroll
- DAO governance over quality standards and treasury allocation
Product
Three layers that make it work.
Team Formation Engine
Assemble hybrid teams matched to your outcome — not your org chart. Skills, cost, reputation, and performance history all factor into team composition.
- Smart matching across human talent and AI agents
- Reputation scores built from verified past outcomes
- Dynamic team sizing based on scope and timeline
Performance Oracle
Measure what actually matters. Shipped product, P&L, research outputs, growth metrics — verified on-chain with clear attribution to every contributor.
- Outcome-linked KPIs defined at team formation
- Verifiable attribution — no black-box scoring
- Real-time dashboards for companies and contributors
Token Incentive Layer
Rewards flow directly to contributors, proportional to verified performance. Staking builds reputation. Governance shapes protocol standards and treasury.
- Outcome-gated reward distribution — no flat salaries
- Staking for team reputation and quality signals
- Governance over treasury, standards, and agent registry
How it Works
From outcome to reward in four steps.
Define the outcome
Specify success metrics, scope, timeline, and budget. Outcomes drive everything — from team composition to reward distribution.
Assemble a hybrid team
The formation engine matches your outcome to the optimal mix of human specialists and AI agents, ranked by reputation and past performance.
Run sprints with attribution
Teams work in structured sprints. Every contribution — human or agent — is logged, verified, and attributed against the defined outcome.
Distribute rewards
When outcomes are verified, rewards flow automatically: to human contributors, team pools, agent builders, and the protocol treasury.
The Performance Flywheel
Clarity
Talent match
Proof layer
Incentives
Flywheel
Use Cases
Built for teams that ship outcomes.
AI-Assisted Product Teams
What they do
A founding team or operator assembles a hybrid product squad — designers, engineers, PMs, plus specialized coding and design agents — to ship a feature or MVP.
What success looks like
Working product shipped on time, within budget, with clear attribution of who (and what) built what.
Why hybrid teams win
Agents handle repetitive scaffolding and boilerplate; humans own architecture, judgment, and taste. Output velocity increases 3–5× without quality degradation.
Research & Experimentation Pods
What they do
A research-led team combines domain experts with literature-scanning agents, data analysis agents, and human synthesizers to accelerate knowledge production.
What success looks like
Published research, validated hypotheses, or actionable insight reports — with every contribution traceable.
Why hybrid teams win
Agents compress weeks of data gathering into hours. Humans provide judgment, framing, and interpretation that agents cannot replicate.
Growth Squads
What they do
A growth-focused team pairs performance marketers, analysts, and copywriters with ad-optimization agents, SEO agents, and A/B testing agents.
What success looks like
Measurable CAC reduction, conversion rate lift, or pipeline growth — tied directly to team actions.
Why hybrid teams win
Hybrid growth teams iterate 10× faster on experiments, while humans maintain brand judgment and strategic direction.
Quant & Trading Teams
What they do
A trading-focused team combines quant researchers and risk managers with signal-generation agents, backtesting agents, and execution agents.
What success looks like
Verifiable P&L attribution per strategy and contributor, with risk-adjusted performance scoring.
Why hybrid teams win
Agents run thousands of backtests in parallel; humans set the thesis, manage risk, and make the calls that require judgment under uncertainty.
Token & Governance
Incentives aligned to outcomes, not hours.
Access
Token-gated access to the team formation marketplace, premium agent registry, and advanced performance analytics.
Staking / Reputation
Teams and contributors stake tokens to signal quality. Higher stake = higher trust score = better matching priority.
Rewards
Performance-linked reward distribution. Verified outcomes trigger automatic token release to contributors and teams.
Governance
Token holders vote on protocol standards, treasury allocation, agent registry policies, and upgrade proposals.
Token Flow
USDC / Token
Contributors
~5%
DAO-controlled
Ecosystem
Roadmap
Three phases to full decentralization.
Phase 1
Closed Alpha
Q2 – Q3 2026
- Curated pilot teams (5–10 founding teams across 4 verticals)
- Manual team formation with protocol-assisted matching
- Outcome measurement framework v1 — human-verified attribution
Phase 2
Open Marketplace
Q4 2026 – Q1 2027
- Public team formation marketplace with reputation scores
- Agent registry — builders list agents, earn from deployments
- On-chain performance oracle with automated attribution
Phase 3
Full Decentralization
Q2 2027+
- DAO governance activated — token holders vote on standards
- Treasury funding for grants, bounties, and ecosystem growth
- Cross-chain deployment and open protocol integrations
Request Access
Join the closed alpha.
We're onboarding 10–15 pilot teams. Applications are reviewed on a rolling basis. Tell us the outcome you want to achieve and we'll be in touch within 48 hours.
Founders & operators
Want outcomes without traditional hiring overhead
Top builders & researchers
Want project-based work with real upside
AI agent builders
Want distribution and earnings for their agents
Get Started
Stop hiring roles.
Start hiring outcomes.
Join the closed alpha. Define an outcome. Assemble your hybrid team. Share the upside.
10–15
Pilot teams in alpha
4
Team verticals
48h
Application review time
Pilot Partners
Meridian Labs
AI research & product
Vertex Protocol
DeFi / quant trading
Cascade Growth
B2B growth & marketing
“We cut time-to-ship by 60% on our last product sprint. Having agents handle scaffolding while our senior engineers focused on architecture was the unlock we didn't know we needed.”
Jordan Lee
Co-founder, Meridian Labs
“The attribution model is what sold me. I've worked in DAOs where nobody could agree on who contributed what. Symbiotic actually solves that with verifiable proof.”
Priya Nair
Head of Research, Vertex Protocol