Build token capital for an existing business.
Factory 2 is the parallel intelligence layer that runs alongside Factory 1. Its job is to convert the work Factory 1 already does into token capital, then use that capital to multiply Factory 1's output.
What it is
An operating layer for compounding token capital
Factor2 ships applied AI systems that capture knowledge, augment decisions, automate repeatable work, and turn everyday operations into reusable AI capability.
Tacit knowledge capture
Map how work actually flows: where decisions happen, where time is wasted, and where context lives in people's heads. Then make it explicit and machine-usable.
Judgment encoded as systems
Turn expert taste, approval standards, escalation logic, and quality bars into reusable workflows, rubrics, and evaluation loops.
Workflow-embedded intelligence
Put AI where work already happens: internal tools, dashboards, content systems, sales, operations, finance, and support workflows.
Owned token capital
Accumulate context, traces, model routes, policies, evals, and reusable skills that make each future token more productive.
Efficient token allocation
Route the right work to the right model, with cost guardrails and reporting so token spend maps to business output.
Designed to compound
Most companies rent AI output through scattered tools. Factor2 builds a governed operating layer that improves as real work flows through it.
How it works
From scattered AI experiments to durable capability
Factor2 is designed as a system: capture, encode, allocate, evaluate, compound.
Factory 1
Your existing operation
The people, processes, relationships, systems, and judgment that run the business today.
Factor2
The token-capital layer
Runs alongside Factory 1, converts real work into token capital, then uses that capital to multiply Factory 1's output.
01
Discover and map
Understand how the organization really operates: workflows, decision points, bottlenecks, and where judgment and context live.
02
Encode human judgment
Turn fragile, undocumented expertise into reusable workflows, data structures, policies, and evaluation loops.
03
Build token capital
Create reusable context, skills, model routes, evals, and workflow memory that make AI output more useful over time.
04
Spend and compound
Deploy tokens against real work, measure the result, and feed the learning back into the operating layer.
Why this works
Most organizations try to “add AI” by buying tools, running pilots, and asking teams to use ChatGPT. The result is fragmentation, not leverage.
Factor2 treats AI as an operating layer: coherent, integrated, and built to improve in production.
What changes
- Expertise becomes reusable, not trapped in people's heads.
- Decisions get better context, faster.
- Tokens are allocated to valuable work, not random prompts.
- Output scales without linear coordination overhead.
Token capital
The asset Factory 2 compounds
Raw tokens are fuel. Token capital is the owned operating capacity that makes every token more useful: context, skills, evals, workflow memory, governance, and routing.
Definition
Token capital is the reusable AI capacity a company builds by turning its knowledge, workflows, judgment, data, and operating patterns into systems that can spend tokens productively.
Read Satya Nadella's post introducing token capital
Context
Customer history, policies, brand standards, operating constraints, and the details people normally have to remember.
Skills
Reusable agent behaviors for drafting, triage, research, analysis, QA, routing, approvals, and exception handling.
Evals
Rubrics, test cases, review patterns, and quality bars that let the system know whether output is actually good.
Traces
Examples from real work: decisions, corrections, escalations, usage patterns, and the path from request to result.
The compounding loop
01
Factory 1 does real work
02
Factor2 captures context and judgment
03
Systems encode skills, evals, and policies
04
Tokens are spent against live workflows
05
Results feed the next improvement cycle
Who it's for
Built for real complexity
Factor2 is designed for organizations already operating at scale, where judgment and context matter, and expectations keep rising.
Media companies
Embed intelligence into editorial, audience, and revenue workflows, while preserving judgment and brand standards.
- Content ops + QA
- Audience insights on demand
- Sales enablement + packaging
Agencies
Make delivery repeatable without making it rigid. Automate the boring parts and keep humans for nuance.
- Briefs → drafts → approvals
- Reusable playbooks
- Faster turnaround
Professional services
Turn high-context knowledge into systems: better drafts, better analysis, better client responsiveness.
- Research + synthesis
- Proposal + memo drafting
- Institutional memory
Ops, finance, and support
Reduce decision latency and error by surfacing context at the moment it matters.
- Requests + triage
- Policy and SOP lookup
- Fewer handoffs
The underlying problem
Most businesses scale linearly, but expectations do not. Hiring more people increases cost, coordination overhead, and inconsistency. Businesses that only use AI tools rent token output. Factor2 changes the equation by encoding best practices into systems and making token capital reusable.
Pricing
Pricing built for adoption and token efficiency.
Unlimited users. Predictable licensing. Usage-based token allocation tied to real workflow demand.
Core License
Starting at $120,000 / year
The token-capital operating layer for your business.
- Unlimited users
- Workflow + knowledge ingestion
- Model routing (best model per task)
- Governance, audit logs, admin controls
- Onboarding + enablement included
Annual contract. Multi-year pricing available.
Token Allocation
Prepaid. Billed against usage.
Scale adoption without surprise costs or unmanaged model spend.
- Shared token budget across the organization
- Bundles starting at $25,000
- Premium model access available
- Usage reporting, guardrails, and routing controls
Token allocation scales with usage, not headcount.
Enterprise
Custom
For complex environments and higher assurance.
- Dedicated environments / higher isolation
- Advanced integrations (data warehouse, internal systems)
- Custom SLAs and support
- Security review support
What you get with Factor2
- Embedded in real workflows (not pilots)
- Central governance + controls
- Model-agnostic routing
- Institutional knowledge capture
- Token efficiency reporting
- Improves in production
Ready to build token capital alongside your Factory 1?
We'll map workflows, ship the first system, then turn usage into compounding capability.
How we engage
Built to ship, then compound
Engagements typically include discovery and mapping, system design and build, deployment and iteration, and ongoing operation so token capital keeps improving.
Strategic partner
Discovery, workflow mapping, leverage-point identification, and system design, aligned to real business outcomes.
- Operating model
- Prioritization
- Governance + guardrails
Systems builder
Design and ship applied AI systems embedded into your workflows, integrated with your tools and data.
- Prototypes → production
- Integrations
- Evaluation + iteration
Operating layer
A long-term function-in-a-box: run Factor2 alongside your core operation to compound token capital over time.
- Ongoing operation
- Continuous improvement
- Institutional memory
FAQ
Common questions
The core idea is simple: do not just spend tokens. Build the operating capacity that makes tokens compound.
What is token capital?▾
Token capital is the reusable AI capacity a company owns and compounds by turning knowledge, workflows, judgment, data, evals, and operating patterns into systems that can spend tokens productively.
How does token capital fit with Factory 2?▾
Factory 1 is the existing business. Factory 2 is the parallel intelligence layer that converts Factory 1's real work into token capital, then uses that capital to multiply Factory 1's output.
Is token capital the same thing as AI credits?▾
No. AI credits or raw tokens are fuel. Token capital is the owned system that makes those tokens accurate, governed, repeatable, and useful inside real workflows.
Is Factor2 a tool, a product, or a team?▾
Factor2 is an operating layer. It can show up as systems you run in your existing tools, and as an ongoing capability that builds and operates those systems over time.
Does Factor2 replace people or teams?▾
No. Factor2 is designed for augmentation. Humans own strategy, accountability, judgment, and relationships. AI handles scale, speed, and memory.
How is this different from “using ChatGPT at work”?▾
Ad hoc usage creates fragmentation and rents token output one prompt at a time. Factor2 treats AI as a system: it captures how work really happens, encodes knowledge into workflows and software, embeds AI where work already happens, and improves in production.
What kinds of organizations are a fit?▾
Teams already operating at scale with real complexity: media, agencies, professional services, and other knowledge-heavy businesses where context and judgment matter.
Is it really unlimited users?▾
Yes. Adoption is the point. Pricing scales on the annual license plus compute usage, not seats.
What determines the Core License price?▾
Core License pricing reflects complexity, workflow scope, integration and security requirements, and the level of support needed.
How do credits work?▾
Token allocation is a prepaid pool billed against usage. Reporting is transparent, with routing and guardrails in place to control overages.
Can we use premium models?▾
Yes. Premium models are available through credits, and routing selects the right model for each job.
Do you offer pilots?▾
We start with a scoped deployment that becomes production, not a throwaway pilot.
What does onboarding look like?▾
Onboarding starts with discovery and workflow mapping, then ships the first system into a live workflow, then scales with governance.
What security standards do you support?▾
We support standard enterprise controls at a high level, including SSO, RBAC, audit logs, and administrative governance.
Is Factor2 a consultancy or a SaaS tool?▾
Neither. Factor2 is not a generic AI consultancy, a slide-deck strategy shop, a prompt-writing service, a single SaaS tool, an innovation lab doing demos, or “AI transformation theatre.” It’s an applied AI operating layer that ships working systems into your existing workflows.
Next step
Build token capital alongside your Factory 1
If you want to explore fit, send your email and optionally share the workflows where better context, judgment, and automation would multiply output.
Convert real work into token capital.Then put it to work.
Typical engagements start with discovery and workflow mapping, then move into system build, deployment, and ongoing operation. The goal isn't experimentation—it's owned capability that gets more valuable with use.