Imagine your business, connected to the world's best AI.

We build the bridge — your data, your models, your privacy. Signal connects your data to AI. Atlas automates your workflows. On-Premise keeps it all local.

The Problem

Your data is already there.

Most businesses run on 3–5 tools that contain everything they need to know. The problem isn't the data. It's that no one has connected it to AI that can actually read it, reason about it, and act on it.

That's the bridge we build.

Operational Intelligence Revenue Analytics Workflow Automation Decision Intelligence Business AI Data-Driven Ops

What we do

Audit → answer → automate → own it.

We embed in your operation, map where revenue leaks, and install AI that evolves from a read-only knowledge layer to a fully agentic system — at the pace your business is ready for.

01

Signal

Your business data, connected to AI. Ask anything, get cited answers.

  • Read-only API connections to existing tools (CRM, ops, financials)
  • Embeddings + knowledge graph over your business data
  • Owner-facing query interface — plain English, cited sources
  • Data pipeline monitoring and refresh
02

Atlas

AI that doesn't just answer — it acts. Automations, alerts, and agents running on your behalf.

  • Everything in Signal
  • Write-access agents that execute actions in your tools
  • Automated workflows: dispatch alerts, CRM updates, quote recovery
  • Proactive intelligence — flags issues before you ask
03

On-Premise

The full Atlas stack, deployed on your hardware. Local LLMs. Zero external API calls. Complete air-gap capable.

  • Full Atlas configuration on local hardware
  • Local LLMs: Llama 3, Qwen, Mistral on Mac Studio cluster
  • Zero external API calls — complete data isolation
  • Same query interface and agent capabilities as cloud Atlas

The Audit

A real diagnostic — not a discovery call.

You get a written plan you can act on, even if you never hire us to build. Move to any implementation tier within 14 days and the full $2,500 is credited — making the Audit cost-neutral when you move forward.

Book an Audit

Audit deliverables

  • Revenue flow review How calls, forms, estimates, dispatches, and handoffs actually move through your operation today — across every branch.
  • Revenue leak diagnosis Missed calls, stale quotes, slow follow-ups, cross-branch job slippage — ranked by dollar impact.
  • AI opportunity map Which tier applies first — Signal or Atlas — and the right sequence to get there without disrupting the operation.
  • Implementation roadmap Specific integrations, workflows, and milestones — scoped to your stack, not a rip-and-replace project.
  • Three guaranteed findings We guarantee at least three concrete, implementable opportunities — or we refund your Audit in full.

Pricing

Start with the Audit. Build at your pace.

Every engagement scopes from your Audit — clear path, clear price. The $2,500 Audit fee is credited toward your Signal or Atlas build.

Entry · Audit

AI Growth Audit

$2,500

One-time · credited toward implementation within 14 days

  • Maps data sources and identifies top opportunities
  • Scopes the build and timeline
  • Written plan you can act on, even without us
  • 3 guaranteed findings or full refund
Book an Audit
Tier 1 · Signal

Read-Only AI Layer

Setup $10K–20K
Care $1K–1.5K/mo

Scoped from Audit · $2,500 credited · Stable once built, low overhead

  • Read-only API connections to existing tools
  • Embeddings + knowledge graph over your data
  • Plain English query interface, cited sources
  • Data pipeline monitoring and refresh
Get a scope

Final implementation scope is set during your Audit — you see the full range before you sign. No open-ended "custom quote" conversations.

What's included in our pricing

Our pricing covers setup, integration, and ongoing Care. API costs (Anthropic Claude, OpenAI, etc.) are billed directly to your business account — not through us. We configure your accounts, set rate limits, and help keep usage predictable.

On-premise deployments are scoped and quoted separately. Learn more ↓

Privacy

Your data. Your terms.

API-level privacy — no model training on your data, contractually guaranteed.

Cloud API — Signal & Atlas

API-only connections. No model training on your data.

Anthropic and OpenAI do not train on data submitted via their API tier. Your business data is never used to improve their models — this is contractually guaranteed for API customers and cannot be waived by the provider.

  • No AI model training on your data — guaranteed by API terms
  • Read-only API access — we never store your raw data
  • You control all API keys and credentials
  • Data processed in-transit; not retained by AI providers

For complete air-gap deployment with no external API calls, see our On-Premise option below.

Infrastructure

Air-gapped. Your building. Your models.

For businesses where no external connection is acceptable — we spec and install a local AI cluster running frontier open-source models. No API calls. No data egress. Fully air-gap capable.

100–400B parameter models running locally (Llama 3.3 70B, Qwen 72B, Mistral Large) Zero API calls · Zero data egress · Full air-gap capable Hardware cost est. $50K–$80K depending on configuration

A typical setup

  • 4× Mac Studio (M4 Ultra) running Ollama with Llama 3, Qwen, Mistral
  • Ubiquiti UniFi network rack with managed switching
  • Local vector database and embedding pipeline
  • Same Signal / Atlas stack — fully air-gapped

Hardware costs are quoted separately and purchased by your business. We handle spec, procurement, rack, install, and configuration.

Talk to us about on-premise

Clarity

What this isn't.

  • We're not selling AI dashboards you'll stop checking — we wire answers into the workflow where decisions actually happen
  • We don't replace your CRM or core systems on day one — we make what you have intelligent first
  • We're not a generic IT consultancy — we implement operational AI specifically for data-driven businesses ready to move faster
  • We don't sell "AI transformation" — we install specific, measurable automations with clear, provable ROI

FAQ

Straight answers.

Signal is your read-only intelligence layer — your business data becomes queryable in plain English, with cited sources, so you always know what's happening without waiting for a report. Atlas goes further: it reads and writes. Agents execute actions in your tools — dispatching alerts, updating CRM records, recovering stale pipelines, sending follow-ups. Signal answers questions; Atlas acts on them.

We connect to the tools service businesses actually run: ServiceTitan, Jobber, HouseCall Pro, QuickBooks, Google Voice, and most CRMs with an API. We don't introduce new platforms on day one — we build intelligence on top of what you already have. The Audit confirms exactly which integrations apply to your stack before we scope anything.

Move to any implementation tier — Signal or Atlas — within 14 days of receiving your Audit and the full $2,500 is credited toward that engagement. That makes the Audit cost-neutral when you move forward. If you don't, the plan is still yours to act on internally.

Signal typically deploys in 3–4 weeks: data connectors, embedding pipeline, and your AI query interface. Atlas adds another 2–3 weeks on top for write-access API integrations and agent workflow testing. Your Audit locks the exact timeline before we start — no open-ended projects.

Yes — and this is the most common path. Atlas builds directly on top of Signal. When you're ready to move from answers to automation, the data connections, knowledge graph, and query interface you already have carry forward. You're adding the agentic layer on top of a foundation that's already live and tested in your operation.

We offer two tiers of data isolation. For cloud deployments (Signal and Atlas), Anthropic and OpenAI do not train on data submitted via their API tier — this is contractually guaranteed. Your business data is never used to improve their models. If you need complete physical isolation — no external API calls whatsoever — we offer a full On-Premise deployment where the entire Atlas stack runs on your hardware, with no external network connections, fully air-gap capable. Hardware is purchased by your business and quoted separately before any commitment.

The Audit requires 3–5 hours of access from your ops lead over 1–2 weeks. Implementation needs a single point of contact for decisions and API access setup. We're embedded — we do the build and minimize disruption. Your team uses the finished system; they don't manage the implementation.

We only scope engagements where the ROI is identifiable before the build starts. For a typical client, a single recovered workflow — answers automated, a revenue leak plugged, one key process streamlined — typically covers the implementation cost in the first 60 days. If we can't find three concrete opportunities during your scan, we refund it in full.

Our pricing covers setup, integration, and ongoing maintenance only. Two categories are billed separately: API costs (Anthropic Claude, OpenAI, etc.) are billed directly to your business account — not through us; we configure your accounts, set rate limits, and help keep usage predictable. Hardware for on-premise deployments — Mac Studios, networking gear, server racks — is purchased by your business; we spec, source, and install everything. Hardware costs are quoted separately before any purchasing decision is made.

Start here

Ready to stop guessing?

Book an Audit — leave with a ranked diagnostic and a clear path to Signal or Atlas. Credit it toward implementation and it costs you nothing.

Book an Audit