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Curious, Logical, Limitless

AI Consultants

We start by finding where AI creates real business value — then design and build the systems, workflows, and automations that turn complex enterprise challenges into measurable, reliable execution.

CoolDash: live dials for GPU, network and storage on a Windows PC
CoolDash, one of two Coolware tools designed and built by CLL Labs.Runs from a USB stick · no install
About

CLL Labs: AI engineering & consulting

We build the intelligent systems and automation your business runs on. We aren't just consultants; we are engineers who ship flawless, production-ready solutions.

Curious. Logical. Limitless.

We focus on practical AI with zero gimmicks: audited rules, human oversight, and absolute accountability. Bring us a problem, and we’ll tell you straight whether AI is actually the right tool for the job.

What we build

We build intelligent systems.Deterministic AI. No gimmicks.

Three ways in: ready-to-run products, automation engineered into your stack, and custom systems built from scratch.

Products

Ready-to-run AI applications.

Ready-to-run proprietary AI applications and digital utilities for document intelligence, technical synthesis, and domain workflow acceleration.

Join early access Releases 2026. First up: CoolDash and Cool Cleanup, under the Coolware label.
Cool Cleanup: a drive scanned into a zoomable sunburst with a sortable file list
Automation

Your stack, connected into autonomous pipelines.

We connect your foundational software stacks into autonomous pipelines. High-throughput data extraction, human-in-the-loop triage, and deterministic ERP posting.

Engineer a workflow Audited rules. Human in the loop where it matters.
Consultancy

Bespoke agents, models and architectures.

Bespoke enterprise agents, fine-tuned domain models, custom RAG vector architectures, and full-stack technical enablement with rigorous SLA guarantees.

Initiate strategy Architecture → deployment → SLA.
The experimental registry

Inside the lab.

Active experiments, multi-agent frameworks, and internal prototypes evolving into production releases.

Prototype

Autonomous Research Swarm

Multi-agent consensus architecture for continuous academic paper evaluation.

Model: Multi-LLM / LangGraph
Testing

Structured Document Parser

Zero-shot multimodal tabular extraction with automatic schema inference.

Focus: raw scans, schema inference
Research

Context Memory Engine

Persistent episodic memory store with fast vector retrieval for long-horizon agents.

Focus: long-horizon agents, hybrid recall
Building

Deterministic Code Synth

Sandboxed test-driven synthesis agent for generating verified microservice APIs.

Status: Sandbox validation
Engagement protocol

Start with one email.No endless sales decks. No hand-waving AI hype.

A simple engineering engagement process, transparent from the first message.

  1. 01

    Write us one email.

    Describe the challenge, where things get stuck, the tools you currently use, and what success looks like to you.

    Input → Defined scope
  2. 02

    We reply with a plan.

    Concrete technical architecture, cost breakdown, expected latency, and delivery timeline. Transparent logic from start to finish.

    Processing → System design
  3. 03

    It runs in production.

    Engineered, deployed, integrated into your tools, and monitored with human-in-the-loop guardrails where critical.

    Output → Automated result
FAQ

Answers to the questionsthat come up most.

What CLL Labs builds, how a project starts, and what happens after launch.

What does CLL Labs do?

AI software, autonomous workflow automation and custom intelligent systems, built and run in production for businesses.

How does a project start?

With one email. You describe the problem, we reply with an architecture, a cost and a timeline.

What does it cost?

Most projects are fixed price after the scoping email. Retainers for ongoing work.

Where does it run?

In your tools and your infrastructure where possible, or hosted by us where that is simpler. Either way, monitored, with a human in the loop where it matters.

Do you support it after launch?

Yes. Monitoring, guardrails and iteration are part of the engagement, not an add-on.

Initiate transmission

Let AI handle the complexity,
Tell us about your business... Now...

Tell us what takes too much time, occurs too repeatedly, or shouldn't require manual human effort. We respond within one business day.

hello@clllabs.com Direct to founding engineers