A programmable runtime
for go-to-market.
We turn context + signals into orchestrated execution across channels, with evaluation built in.
Best for teams with product telemetry + a real sales motion (not early idea-stage).
signal credit_balance < 10
action retention_recipe.execute(user)
result email_sent, score: 0.87, tracked
Content is no longer scarce.
Coordination is.
AI increases throughput. It does not create a system. We build the orchestration layer that connects generation to distribution to response to measurement to iteration.
You can generate assets instantly. You still can't reliably turn them into revenue.
Without orchestration, content stays disconnected from pipeline.
Result: teams ship more, learn less, and repeat the same mistakes across channels.
For technical GTM teams
We build growth systems that run like software: they take in company context and signals, execute across channels, and improve through evaluation, so output turns into repeatable pipeline.
Design the system
Inputs, rules, constraints, and guardrails.
Deploy execution
Campaigns, outbound, lifecycle, wired to CRM + product data.
Close the loop
Attribution, experiments, and evaluation that actually changes behavior.
How it works in practice
A retention signal fires. Here is what happens next.
Signal detected
Credit balance drops below threshold
Context pulled
Usage history, plan tier, last interaction
Strategy selected
Retention recipe with personalization rules
Content generated
Personalized email with usage-specific copy
Evaluated
Scored against past retention conversions
Delivered
Sent via best channel, outcome tracked in CRM
System Architecture
Execution Graph Runtime
Think of it like CI/CD for marketing execution.
Input
- Customer context
- Market signals
- Strategy recipes
Processing
- Graph runtime resolves dependencies
- Enriches data from sources
- Generates structured output
Outcome
- Scored artifacts
- Versioned outputs
- Ready for deployment
Workflow Graphs
Steps, dependencies, validations, outputs
Context Graphs
Brand rules, constraints, preferences, historical decisions
Enrichment
Collect missing inputs, derive required context
Synthesis
Specialized agents generate structured outputs
Evaluation
Quality checks and outcome tracking, continuous improvement
Seven APIs. One system.
Each API handles one concern. Compose them into workflows that match your growth model.
Context GraphAPI
ctx.query("brand.voice", "audience.icp")
A rich, queryable knowledge base about a customer. Brand identity, audience, runtime state, and market presence in one structured graph.
SignalsAPI
signal.when("credits < 10", trigger: "retention")
Dynamic, condition-based actions using structured customer signals. Detect meaningful states and trigger downstream actions automatically.
ListenerAPI
listen.track("competitor.mentions", window: "7d")
Market-aware enrichment by continuously monitoring high-performing content, trends, and conversations in a defined space.
StrategyAPI
recipe.select("retention", deps: ["usage", "plan"])
Defines what kind of output to create and what information it needs. Recipes declare dependencies on specific context layers.
EnrichmentAPI
enrich.resolve(recipe.prerequisites)
Figures out the values a recipe needs. Checks required data, extracts from sources, generates missing pieces.
SynthesisAPI
synth.generate(recipe, context, format: structured)
Specialized agents generate structured outputs. Every required field is filled, nothing is missing, ready for deployment.
EvaluateAPI
eval.score(artifact, against: history)
Benchmark various methods. Quality checks and outcome tracking with continuous improvement across runs.
Signals in Action
The system reacts to customers and markets in real time.
Signal
High Retention
Condition
Retention rate > 50%
Action
Trigger cross-sell campaign
Impact
~2x pipeline
Signal
Low Credits
Condition
Credit balance < 10
Action
Send personalized reminder
Impact
Response < 15 min
Signal
Rising Objection
Condition
Topic velocity > baseline
Action
Inject objection-handling messaging
Impact
~30% faster close
Signal
Competitor Breakout
Condition
Mentions spike 3x WoW
Action
Trigger competitive positioning
Impact
< 1 hr response
Case: SaaS retention system
Iteration speed: 2 weeks per cycle to 3x/week.
Response time: 48 hours to 30 minutes.
System runs continuously. No manual handoffs between detection and action.
How We Work
Two ways to work with us.
Best for teams with existing demand and technical literacy.
Build your own system
We expose Context, Signals, Strategy, Enrichment, Synthesis, and Evaluate as modular APIs. Your team builds the system. You own the control.
We build it for you
We use the same APIs to build custom solutions for specific business problems. We run pilots, then scale what works.
Your growth system should be as reliable as your product infrastructure. Let's build it.