PulseLake is an AI-native, ontology-driven operating system that unifies research operations, assessments, evidence management, and insight delivery for research, consulting, and strategy teams.
What is PulseLake?
PulseLake is a cloud-based platform that manages the end-to-end lifecycle of research programs—from study design, audience collection, and multi-modal data capture to AI-assisted analysis and branded client delivery. It takes inputs such as surveys, assessments, qualitative responses, and behavioral metadata and produces client-ready outputs including dashboards, reports, portals, and automated workflows. Every insight is organized around a shared ontology of dimensions, scoring models, benchmarks, and evidence structures, making results traceable and reusable across programs. The platform is used by organizations including EY, OMERS, CPP Investments, and BDC.
Key Features
- AI-native research & insights — AI agents assist in drafting questionnaires, thematic clustering, open-ended analysis, and narrative generation; humans retain control over authoring and approval.
- Ontology-driven evidence management — Research outputs are structured around reusable dimensions, sub-dimensions, questions, scoring models, and segments, enabling cross-project comparison and compounding intelligence.
- End-to-end value cycle — Covers Frame, Collect, Structure, Analyze, Synthesize, Deliver, and Grow in one system, eliminating the need to stitch together separate tools.
- Multi-modal data capture — Collect inputs via text, voice, images, screenshots, and behavioral metadata, all stored in a shared ontology.
- Client portals and branded workspaces — Deliver secure, on-brand dashboards and reports for each client; supports collaborative review, approvals, and scheduled updates.
- Marketplace for reusable IP — Publish and clone assessment frameworks, research templates, dashboards, and workflows across teams; agencies can productize their methodologies as repeatable assets.
- AI/agent evaluation — Provides a human evaluation layer for LLM output grading, multi-turn conversation scoring, safety alignment checks, and behavioral analysis.
Who is it for?
- Market research and insights teams — Run more studies with less manual effort, preserve institutional knowledge, and deliver faster results to stakeholders.
- Research agencies — Deliver consistent, branded client programs with automated reporting, white-label portals, and reusable frameworks that improve margins.
- Consultancies — Turn proprietary maturity assessments, diagnostics, and benchmarking into scalable, revenue-generating offerings.
- CX, EX, and product insights teams — Connect human feedback to product, organizational, and market decisions using the unified Pulse Framework (User, Product, Organizational, Market Pulse).
What can you do with PulseLake?
- Design and scale assessments — Build maturity assessments, current-state diagnostics, capability benchmarking, and typology studies using reusable templates and AI-assisted question drafting.
- Run multi-method research programs — Conduct NPS, MaxDiff, conjoint, Van Westendorp pricing, concept testing, and qualitative studies—all within a single platform.
- Automate insight delivery — Generate client-ready dashboards, scheduled reports, and branded insight portals without manual compilation.
- Evaluate AI outputs — Use the platform’s human evaluation layer to grade LLM responses, score agentic reasoning, and align AI behaviors with safety requirements.
