What is the primary mission of micro1?
To enable every enterprise to deploy highly reliable, high performance agents powered by the world’s best human data engine
micro1 aims to become the defining intelligence layer for enterprise AI agents.
What differentiates micro1 from generic AI applications?
micro1 provides the infrastructure that turns agents into world class operators
Human data is the scarce asset that determines agent performance.
What are the two types of Fortune 100 companies mentioned?
- Tech forward Fortune 100s
- Non tech forward Fortune 100s
Tech forward companies have strong internal AI teams, while non-tech forward companies need assistance in building agents.
What is the purpose of the free pilot offered by micro1?
- Identify gaps in the customer’s existing agent
- Build trust by demonstrating how human data exposes failure modes
- Show the value of partnering long term
The free pilot helps in initial evaluations and gap analysis.
What are the deliverables of the paid pilot?
- 100+ task eval dataset
- Performance report with metrics
- Model ranking and agent performance breakdown
- Fine tuning recommendations
The paid pilot is designed to generate usable and useful data.
What are the five layers of micro1’s full product stack?
- Layer 1: evals and diagnostics
- Layer 2: human data for fine tuning
- Layer 3: agent specific fine tuning
- Layer 4: continuous monitoring
- Layer 5: optional agent build outs
Each layer addresses different stages of enterprise agent development.
What does Layer 1 of micro1’s offering focus on?
Structured evaluations that reveal performance gaps in:
* reasoning
* tool use
* domain knowledge
* workflow execution
* hallucination and reliability
* safety and compliance
Outputs include detailed failure analysis and rubric-based scoring.
What is provided in Layer 2 of micro1’s offering?
- High signal human data tailored to the customer’s domain
- Rubric aligned annotation pipelines
- Tens of thousands of task demonstrations
- Specialized datasets for reasoning, planning, and agentic skills
This layer is core to micro1’s operations.
What is the goal of Layer 3: agent specific fine tuning?
- Domain specialization
- Workflow specific optimization
- Improvement in tool calling quality
- Reasoning issues correction
- Robustness improvement using adversarial data
This layer focuses on enhancing the customer’s policy model.
What does Layer 4: continuous monitoring provide?
- Production evals
- Drift detection
- Continuous scoring across workflows
- Dashboards for engineering and leadership
- Alerts when KPIs fall below thresholds
This layer ensures ongoing performance evaluation.
What is the purpose of Layer 5: optional agent build outs?
- Build small, niche, internal use case agents
- Demonstrate value
- Accelerate human data adoption
These agents are narrow in scope and fast to build.
What are the steps for Model A: customer has an existing agent?
- Run free pilot
- Deliver gap analysis
- Run paid evaluation
- Create a human data plan
- Fine tune their model
- Deploy continuous monitoring
micro1 becomes the intelligence layer on top of their agent stack.
What is the approach for Model B: customer has no agent at all?
- Use baseline models for initial evals
- Guide their engineering team to build the agent
- Build the first internal version if it helps accelerate adoption
The goal is to get them into the human data stream.
What does the pricing framework include for the free pilot?
- Zero cost
- Limited to 10 to 100 tasks
- Designed to reveal gaps and unlock the paid stage
The free pilot serves as an entry point for customers.
What factors determine the pricing for the full human data engagement?
- Domain complexity
- Required dataset size
- Rubric complexity
- Volume of edge cases
Pricing can be per task, per dataset, or through annual subscriptions.
What is the long term vision for micro1?
To become the universal standard for evaluating and improving enterprise agents
Every agent will run against micro1 datasets and use its monitoring dashboards.
