The Decision Engine for Modern Trades.

Your business makes a thousand decisions a day. IgniteIQ makes every one faster, smarter, and right — running on enterprise-grade infrastructure deployed inside your cloud.

Time to deployed
< 7 days
Systems unified
25+
Customer-owned
100%
Framework version
v4.2
01 Why this matters

The companies that win the next decade won't be the ones with the best software. They’ll be the ones who own their intelligence.

Every advantage in this industry gets copied. A new tool. A new tactic. A new vendor. The infrastructure underneath your business doesn’t. Owning your intelligence is the only advantage that compounds – and the operators who build it will outlast the ones who rent it.

02 The problem

Every home services business is a decision-making engine. The data underneath is blurry.

A $15M HVAC company makes thousands of micro-decisions a day — which job to dispatch, which lead to call back, which technician to send where. The compounding quality of those decisions separates a 12% margin company from a 22% margin company.

Today those decisions are made on data spread across 15 to 25 disconnected systems — siloed, duplicated, often contradictory. The AI tools sold into this market promise to fix it and consistently fail. The foundation underneath was never ready.

AI without clean, structured data is expensive guessing.

03 The solution
What you actually get

Real data infrastructure that turns blurry data into faster, sharper decisions.

A unified data foundation, a proprietary ontology that gives it meaning, and AI products that act on it. Each layer is operational on its own — together, they replace 15 to 25 disconnected systems with a foundation you can build on for years.
01 — Data

Your data, unified.

An enterprise-grade warehouse stood up inside your cloud. Forty-plus connectors pull every operational source — ServiceTitan, QuickBooks, marketing platforms, payroll, call tracking — into one queryable, cleaned model. No more conflicting reports. No more reconciling spreadsheets. One source of truth, owned by you.

Components

  • · Data warehouse in your cloud
  • · 40+ source connectors
  • · Cleaning, deduplication, hygiene
  • · Security and governance built in

02 — Logic

The ontology, on top.

The proprietary IgniteIQ ontology resolves your operational entities — jobs, customers, technicians, trucks, invoices — into one shared model. It defines what things are and how they relate, so every analytics query, every agent, and every automation reads from the same logic. This is the layer that makes AI actually work.

Components

  • · Models, logic, and meaning
  • · Entity resolution across systems
  • · Shared definitions for every product
  • · Continuously improving framework

03 — Actions

Decisions, faster.

Analytics and BI to understand. Workflows and automations to act. Agents that operate inside the ontology and write decisions back into the systems your team already uses. The unit of value isn’t a dashboard — it’s a better decision, made thousands of times a day across your business.

Components

  • · Analytics and BI
  • · AI Workflows and automations
  • · Agentic AI agents with write-back
  • · Custom AI products and tools

Headless by design

Intelligence finds you. You don’t have to find it.

Intelligence isn’t valuable if it lives somewhere your team has to go visit. It’s valuable when it shows up at the moment of decision, in the surface where the work is already happening.

01 Slack

In the channel where the work is already happening.

For the Operations lead

The dispatcher's day runs in Slack. So the intelligence finds them there — an alert in their operations channel with the one decision worth making this hour, and a button to make it. No new app to learn. No dashboard to remember to open.

# intelligence
Operational intelligence · 12 members
iQ
IgniteIQ APP 8:47 AM
● Route opportunity
Tech #47 finishes their HVAC call near 92121 at 11:30 AM. A high-margin install in zip 92122 is unassigned and 6 miles away. Margin impact: +$2,400 today vs. pulling Tech #18 from the south route.
↳ Mike (Ops Lead) — Done. Moved. ✅
02 Gmail

In the inbox you already open at 6 AM.

For the CEO

Most CEOs start the day in their inbox. So the morning brief lands there — three things going right, two needing attention, the one decision that actually matters today. Read once, act, move on. Not a dashboard you'll open later.

IgniteIQ Brief Your Tuesday Morning Brief — May 28 — 3 going right · 2 needing attention · 1 decision required today 6:00 AM
Stripe Weekly summary · TAPPS HVAC — Net volume $284,210 — up 8.2% week over week. 5:42 AM
David Park Re: Q3 hiring plan — I think we hold on the SDR until the August numbers come in. Mon
Calendly Reminder · 10:30 AM with Mark Reilly — Coffee at Lofty Coffee — your calendar is clear after. Mon

Your Tuesday Morning Brief — May 28

✓ Going right
Booked revenue up 12.4% WoW. Membership renewals are running ahead of plan. Callback rate down to 3.1%.
! Needs attention
Q2 install margin tracking 2.4 pts below plan. Driver: Yelp channel jobs running 6 pts under target margin.
● Decision required today
Approve a $4,200 budget shift from Yelp → Google Local. Forecast lift: +11 booked jobs / week. Review →
03 Excel

In the spreadsheet your CFO actually trusts.

For the CFO

Finance lives in Excel. The intelligence shows up as a live cell comment — not a slide, not a chart, not a separate report. The variance, the driver, the recommended move, traceable back to the underlying data. Right next to the number that prompted the question.

X Q2 Operating Plan — Tapps HVAC.xlsx
File Home Insert Formulas Data Review View
D3 =ACTUAL!B12 - PLAN!B12
A
B
C
D
1
Metric
Plan
Actual
Δ
2
Booked revenue
$2,840,000
$2,914,200
+2.6%
3
Install gross margin
34.0%
31.6%
-2.4 pts
4
Membership ARPU
$412
$428
+3.9%
5
Marketing CAC
$184
$219
+19.0%
6
Tech utilization
78%
81%
+3.0 pts
7
Avg. ticket
$1,240
$1,318
+6.3%
● IgniteIQ Comment
C3 variance — Install gross margin. Tracking 2.4 pts under plan YTD. Primary driver: Yelp-sourced jobs running 6 pts under target margin (sample: 84 jobs · $284K revenue). Reallocating $4.2K/wk from Yelp → Google Local recovers ~$58K of margin by EOQ. One-click model in /pricing.
04 iMessage

In the text thread you actually read.

For the CEO

Some moments aren't for an email or a dashboard. A miss on Friday's revenue. A lead the team forgot. The platform texts the CEO with the specific issue and a one-tap action — and reports back when it's done.

9:41 • • • •
iQ
IgniteIQ ›
iMessage · Today 7:14 AM
Hey Scott — Friday’s revenue is going to miss plan by ~$18K unless we add 2 more bookings today.
Two recovered leads from Tuesday were never called back. I can have CSR-AI reach them in the next hour with your approval.
Yes, go.
On it. Calling now. I’ll text when both are booked.
CSR-AI · Live · 2 calls queued
05 Claude

In the AI you already work with.

For the Head of marketing

Marketing wants to ask hard questions in plain English. Through the IgniteIQ connector, Claude reads the resolved ontology directly — every job, every lead, every dollar — and gives a real answer, grounded in your live data, not a guess.

Marketing — Q2 attribution · Sonnet 4.5
You · 8:42 AM
Which marketing channels are actually profitable this quarter — once you account for closed revenue and gross margin, not just bookings?
※ Claude
Based on the live ontology in your warehouse — 1,247 jobs and 612 leads across Q2 to date:
Channel Spend Booked CAC Margin
Google Local Services $12,400 $184,200 $94 36.2%
Google PPC $18,200 $201,800 $142 31.4%
Yelp $9,800 $54,300 $284 24.1%
Direct mail $6,400 $71,200 $118 33.0%
Referral $0 $118,400 $0 41.8%
The honest answer: Yelp is unprofitable at current margin. Google Local Services and Referral are doing the heavy lifting. I’d reallocate $4.2K/wk from Yelp into Google Local — projected lift ~11 booked jobs/week.
Grounded in IgniteIQ ontology · 1,247 jobs · 612 leads · live as of 4 min ago
06 ChatGPT

In the AI your team already opens every day.

For the Head of service operations

Service ops needs to cut through the surface and see what's actually true. Through the IgniteIQ connector, ChatGPT reads the resolved ontology directly and answers the hard questions — which technicians are really profitable, which jobs look good and aren't, where the margin is hiding. Plain English in, real answers out.

GPT-5 ▾
Which of my technicians are actually profitable? Don’t show me average ticket — that lies. I want true contribution margin once callback costs and rework are factored in.
✺ ChatGPT
Pulled from the IgniteIQ ontology — YTD across 4,218 completed jobs. Average ticket is misleading; here’s true contribution margin after callbacks and rework:
Technician Avg ticket Callback True margin Read
Eric M. $1,684 2.1% +$342K Top performer
Marco D. $1,432 3.4% +$268K Strong
James R. $1,612 9.8% +$118K Looks good — isn’t
Tony S. $1,298 4.1% +$224K Solid
Kevin P. $1,540 11.2% +$84K Bleeding margin
Daryl B. $1,388 3.0% +$251K Solid
The honest read: James and Kevin look like top techs on the dispatch board — high tickets, busy days. But once callback cost is factored in, James is making half what Eric is, and Kevin is barely contributing. Worth a coaching conversation, not a roster change.
Grounded in IgniteIQ ontology · 4,218 jobs · 6 technicians · YTD as of this morning
Ask anything about the business… ↑
See a full day

Walk a day with an operator running on IgniteIQ.

6:00 AM to 5:00 PM. Six surfaces. One Tuesday. Scroll through it like it's actually happening.

Watch a day →
The point

Six surfaces. Six teams. One source of truth underneath — yours.

06 The path

Invest in outcomes.
Not experiments.

The platform doesn’t just give you better answers. It changes the economic reality of the business — surfacing the margin you’re losing, capturing the revenue already inside your walls, and giving every person on your team the leverage to do their best work.
01

FOUND MARGIN

The money you’re losing right now becomes visible — and recoverable. The unbilled jobs sitting in dispatch. The marketing channels burning cash without producing revenue. The technicians and trucks running below their potential. The maintenance agreements aging out without follow-up. The platform surfaces every leak in the business and gives you a path to close it. Not someday. Inside the first 90 days.

02

CAPTURED REVENUE

The revenue already inside the business gets captured. The leads your team didn’t follow up on get followed up on. The customers due for service get reached before your competitor reaches them. The upgrade conversations that should have happened, happen. The platform finds the revenue you’ve been leaving on the table and turns it into closed work — without adding ad spend, without adding pressure, without forcing your team to work harder.

03

FORCE MULTIPLIER

Every person on your team becomes more powerful. CSRs answering calls with the full customer history in front of them. Dispatchers seeing the next-best move before they ask. Technicians showing up with context that makes them faster and sharper. Managers operating with one clean picture instead of five disagreeing reports. The platform doesn’t replace your team — it gives them the leverage to do their best work, every day, on every job.

07 Deployment
Time to live

What used to take a year. Shipped in a week.

IgniteIQ deploys real infrastructure - a data warehouse in your cloud, your data unified into the ontology, AI products running on top - in seven days. Not a pilot. Not a slide deck. Production infrastructure from day one.
Day 0

Contract signed

Workspace provisioned in your cloud.

Day 2

Systems connected

15–25 source systems wired into the warehouse.

Day 5

Ontology activated

Jobs, leads, technicians, invoices resolved into one model.

Day 7

Live decisions

Analytics + agents shipping decisions to operators.

Get started today
Get started today

Own Your Intelligence.

Your cloud. Your data. Your Intelligence. Deployed in days, not months - and yours from the moment we ship.
Get started today How it works