WaiveLabs
WaiveLabs builds practical AI infrastructure for small and mid-sized businesses, turning scattered operational data into a unified, auto-updating business database with live dashboards and scoped AI agents. The company runs a 90-day engagement that includes hands-on training so client teams can direct agents and ship improvements independently. Security is a core differentiator, with isolated database instances, row-level security, and contractual no-training-on-customer-data commitments.
- Enterprise Software
- AI Agents
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Small businesses accumulate data across spreadsheets, SaaS tools, reports, and internal knowledge, but this information remains scattered and underutilized. Without a unified operational foundation, teams struggle to access real-time insights, automate recurring work, or build practical AI tools that fit their actual workflows.
Solution
WaiveLabs builds practical AI infrastructure around existing business operations, organizing data first and then deploying useful tools. The company runs a 90-day engagement that consolidates scattered data into a secure, auto-updating business database, ships a flagship web app with live dashboards, and deploys scoped AI agents that take on recurring work with clear approval boundaries. Agents operate with least-privilege permissions and require human approval for consequential actions, with a full audit trail on every privileged operation. The platform includes a shared business memory and skills layer, enabling agents to learn and improve over time while preserving data sovereignty. Each client receives an isolated database instance with row-level security, and the company uses enterprise API access with contractual no-training commitments on customer data. The engagement concludes with capability transfer, teaching client teams to direct agents, improve workflows, and ship changes without waiting on a dev team.
Target Audience
Primary customers are small and mid-sized businesses that have accumulated substantial operational data but lack the internal capacity to build custom AI infrastructure or integrate AI agents into daily workflows.
Features
- Unified business database with source inventory, data triage, and auto-updating connections to spreadsheets, SaaS tools, and reports
- Live dashboards and action surfaces that surface what matters across sales, marketing, operations, and finance
- Scoped AI agent workflows with human approval gates for sending, paying, deleting, and other consequential actions
- Shared business memory and skills that accumulate across agent tasks
- Row-level security enforced at the database layer, with least-privilege access and isolated instances per client
- Enterprise API access with contractual no-training-on-customer-data commitments and optional zero data retention
- Agent Log providing full audit trail of every agent action and proposal
- Encryption in transit (TLS) and at rest (AES-256), with secrets kept server-side and never shipped to the browser
- Three engagement programs (Starter, Core, Full) with 40, 60, or 80 committed hours per month, respectively