About Us

Hyve Labs · About Us

We build agentic AI and RAG platforms that ship real work.

Hyve Labs is a studio for autonomous workflows, retrieval systems, and developer‑ready tooling. We partner with teams to design secure, observable AI that plans, executes, and learns—across your stack.

Hyve Labs team and platform visualization
Principle

Outcomes over Hype

We choose measurable results: cycle time, accuracy, savings—not buzzwords.

Principle

Secure by Default

Least‑privilege connectors, PII redaction at ingest, audit trails, and answer abstention.

Principle

Design for Scale

From local SLMs to enterprise LLMs; caching, rerankers, and multi‑tenant isolation.

Why we started

We saw teams drowning in tools and docs—but starving for outcomes. We set out to connect knowledge to action.

What we build

Agentic automations, RAG platforms, and observability layers that fit your data and security posture.

How we work

Short pilots with clear KPIs. We ship, measure, iterate—and transfer playbooks to your team.

Where we’re going

Composable agents that coordinate across departments with policy‑aware memory and tool use.

10xFaster cycle times
95%Grounded answers with citations
24/7Autonomous workflows
Zero‑trustSecurity posture
Loren — Founder

Loren

Founder & Principal, Agentic Systems

DevOps specialist and AI architect building secure, observable agentic pipelines.

Nate — Solutions

Nathan

Lead Solutions & Customer Success

Bridges business outcomes with technical delivery; owns pilots and ROI tracking.

Collin — Solutions

Collin

Lead Solutions & Customer Success

Bridges business outcomes with technical delivery; owns pilots and ROI tracking.

  • Agentic Automations From lead ops to QA, agents plan, call tools, and deliver outcomes.
  • RAG Platforms Ingestion, hybrid retrieval, cross‑encoder rerankers, and evals with citations.
  • Security & Governance Least‑privilege integrations, PII redaction, audit trails, and DR runbooks.
  • Developer Tooling SDKs, prompts, evaluation harnesses, and dashboards for observability.
  • Training & Enablement Workshops, playbooks, and hands‑on pilots to upskill internal teams.
  • Advisory Architecture reviews, cost modeling, and vendor selection (LLMs & vector stores).

Let’s build something useful.

Tell us a workflow to automate or a knowledge base to unlock—we’ll propose a 1‑week pilot.

Get in touch
Where are you based?

We operate remotely across US time zones with on‑site options for pilots and deployments.

Which stacks do you support?

OpenAI, Anthropic, local SLMs; Pinecone, Qdrant, pgvector; n8n or custom orchestrators; major clouds.

How do engagements start?

Discovery call → scoped pilot (1 week) → success review → rollout with training and handoff.