PulseLake

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Pulselake is an AI-native, ontology-driven operating system for research operations, assessments, evidence management, and insight delivery. It helps research, consulting, CX, EX, product, and strategy teams design structured studies, launch surveys and assessments, collect responses, manage clients and collaborators, analyze quantitative and qualitative evidence, and deliver insights through dashboards, reports, portals, and automated workflows. Unlike traditional survey tools, Pulselake organizes research around reusable ontologies: dimensions, sub-dimensions, questions, scoring models, benchmarks, segments, and evidence structures. This makes research easier to compare, reuse, automate, and turn into decisions. With Pulselake, teams can run maturity assessments, diagnostics, customer and employee studies, pricing research, MaxDiff, conjoint analysis, feedback programs, qualitative research, and flexible research workflows in one platform.

Tuning Engines

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Tuning Engines is a unified AI control and governance layer for teams building production intelligence across models, agents, tools, and fine-tuned systems. It brings together the full AI lifecycle in one governed platform: inference, model routing, fallback policies, fine-tuning jobs, datasets, evaluations, model imports and exports, custom models, agents, MCP servers, reusable skills, guardrails, AGT YAML policies, data capture, runtime traces, usage analytics, API keys, billing, team roles, and integrations. Developers get OpenAI-compatible APIs, Anthropic-compatible routes, CLI workflows, MCP access, coding-agent integrations, and resource catalogs for models, agents, tools, and skills. Teams can connect Claude Code, OpenCode, Aider, Cline, Roo, Continue.dev, Cursor, VS Code, Windsurf, and other AI workflows through a single governed platform. Admins get the controls needed for production: role-based access, per-key budgets, rate limits, routing profiles, fallback rules, guardrails, policy-as-code, credential sources, auditability, usage traces, billing controls, tenant isolation, and team management. Tuning Engines is built to help organizations move beyond isolated AI experiments into a secure, observable, cost-aware, and extensible AI operating layer where models can be trained, evaluated, routed, governed, and used by agents and tools at scale.

Hyperlake

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HyperLake is the command center for sovereign agentic infrastructure. Deploy, manage, run, secure, and govern production-ready data, workflow, analytics, and AI agent cloud-native stacks across your own VPC, private cloud, on-prem environments, open technologies, and native cloud services.