BaseDynamics

The Platform Architecture

Built Agent-First, Not AI-Patched

Move past legacy CS platforms and siloed feedback dashboards. BaseDynamics unifies usage logs and customer voice into a 3-layer engine that defends revenue 24x7.

Autonomous Customer Revenue OperationsPredictive Retention MLDeterministic Data Architecture

Stop bolting on AI, try BaseDynamics

Stop patching AI onto legacy CS tools. Start agent-first.

The Blueprint: The 3-Layer Infrastructure

The Autonomous Data Layer

Universal ingestion without custom code pipelines or schema engineering

Legacy setups stall because their data streams live in silos. BaseDynamics plugs into your product telemetry (Segment, Mixpanel, database mirrors), unifies multi-channel Customer Voice (tickets, transcripts, surveys), and pulls journey metadata from your CRM and billing systems to a single view.

Frictionless Ingestion: Connect all your customer touchpoints in under an hour.

Structured Mapping: Align raw telemetry logs directly to qualitative text feeds at the database layer.

Morning brief showing accounts that need attention today

The Context & Intelligence Layer

Cross-domain timeline correlation powered by frontier models

An AI model is blind without structural context. Our intelligence layer crawls your product to map features, scores customer voice by topic, intent, and sentiment, and ties it to lifecycle stages, building a centralized Customer Knowledge Graph.

Omnichannel Correlation: Link an account's usage drop precisely to a specific piece of customer feedback or an unresolved bug.

Decoupled Revenue Scoring: Generate separate, auto-correcting models tracking true Renewal Likelihood and Expansion Potential.

Account pulse chart with health, ARR, and renewal risk

The Autonomous Agentic Layer

24x7 background revenue orchestrators running on unified context

Stop making customer revenue teams dig through charts to find which accounts are at risk, renewing, or growing. BaseDynamics deploys three AI agents to run your portfolio: an Activation Specialist, a Retention Guardian, and an Expansion Analyst.

Evidence-Backed Signals: Combine supporting variables into one high-trust action, filtering out noise and one-offs.

Automated Workflow Execution: Let AI agents run background checks, take remediation actions, escalate bugs, or push alerts to Slack and CRMs on autopilot.

Activation, retention, and expansion agents with weekly signal counts

Platform Value & Macro Outcomes

Eliminating Silent Churn Across Your Volume Tail

Tech-touch accounts rarely get manual team attention, leaving their churn risks completely invisible. BaseDynamics runs continuous tracking across every account tier, surfacing early friction alerts without demanding human monitoring.

Accelerate Onboarding Value Loops

Track initial user adoption velocity and lifecycle transitions automatically. The moment a newly onboarded account stalls or runs into layout confusion, our agents flag the exact bottleneck so your team can step in immediately.

Maximize Signal-Driven Net Dollar Retention

Stop guessing your pipeline. Our platform identifies lookalike accounts primed for upgrades by monitoring when usage logs approach capacity thresholds, triggering automated playbooks to secure expansions effortlessly.

Got questions?

Most tools add an AI chat layer on top of an existing dashboard. BaseDynamics is built the other way around: the data, intelligence, and agentic layers are architected together from the ground up, so the agents act on a unified customer knowledge graph rather than a single disconnected signal.

No. The Data Layer is designed to ingest raw telemetry, unstructured customer voice, and CRM records directly, with the product crawler and intelligence layer doing the structuring and mapping work automatically.

The Data Layer connects your systems and calculates the product usage metrics, the Intelligence Layer correlates usage and voice into a Customer Knowledge Graph and decoupled revenue scores, and the Agentic Layer acts on that context directly, flagging risk, surfacing expansion, and executing playbooks without manual intervention at any step.

Ready to go agent-first?

Connect your product data streams and deploy your first autonomous revenue agents in less than a day.