Serving software and technology companies across the San Francisco Bay Area and Seattle

Turn Data Infrastructure Debt Into
A Platform Your Engineering
Team Can Scale On.

Data engineering, automation, and applied AI for software and technology companies across the San Francisco Bay Area and Seattle, from growing product teams to scaled engineering organisations.

Schedule a ConsultationSee how it works
Engineering Data SnapshotLive
Pipeline reliability94%
2.8h
vs 19 hour manual data prep baseline
Product data
90%
Pipeline health
94%
GTM coverage
88%
AI Operating Layer
IQ Chat, Engineering copilotsActive
IQ Connect, Cross-system automationActive
IQ Assistant, Back-office task orchestrationActive
Serving tech teams in
San FranciscoSouth San FranciscoPalo AltoSeattle
, hands-on, from day one
~0%
reduction in reporting and data prep time for a technology client after unifying product, engineering, and GTM systems into one governed layer
0+
systems across your stack unified into one reporting layer, whether you're integrating 5 tools or 50
0 day
average response time from our senior delivery team, built for teams that ship fast
The Challenge

Where tech company data stops scaling.

Product, engineering, and GTM each built their own data stack. The cost shows up as infrastructure debt, slow decisions, and AI pilots that never reach production. From Series A startups to scaled software companies, if this sounds familiar, you're in the right place.

Product analytics, engineering data, and GTM systems running in parallel, with no shared source of truth that product, engineering, and leadership can trust.

Data engineers spending more time maintaining brittle pipelines than building capabilities that move the product forward.

AI and ML initiatives stuck in experimentation, strong in demos, weak in production because the underlying data isn't governed, reliable, or accessible enough.

Manual reporting and ad-hoc SQL consuming engineering and analytics time every week, pulling people away from the work that actually ships product.

Leadership making roadmap and resource decisions from dashboards that take days to reconcile and nobody fully trusts.

How It Works

One data platform,
built around your existing stack.

IQNOVO unifies your product, engineering, and GTM data, automates the manual work around it, and introduces governed AI your teams will actually use in production. We start from your real stack, prove value with a focused first milestone, and scale without a multi-year transformation programme.

Tech data unification across product, engineering, and GTM systems
01
Unify Product & GTM Data
One governed source of truth across product analytics, engineering pipelines, and GTM systems, without ripping out the tools your teams depend on.
02
Automate Data Operations
Eliminate repetitive pipeline maintenance and manual reporting so your data and engineering teams focus on capabilities that ship product.
03
Ship AI to Production
Governed copilots and agents built for real engineering workflows, not ML experiments that impress in demos and stall before production.
04
Decisions at Product Speed
One trusted operating picture means product, engineering, and leadership move faster, with data your teams actually believe in.
What We Deliver

Built for software & technology.
Not generic enterprise IT.

We work with product-led engineering teams from growing startups to scaled software companies, starting from your actual stack and operating problems, not a pre-packaged data transformation framework.

01
Data Warehousing
We design data architecture and governance for technology companies, across product analytics, engineering data stores, and GTM systems, giving your teams one dependable source of truth instead of brittle pipelines that break every sprint.
Discuss your data stack
02
Reporting & Analytics
We build product, engineering, and executive dashboards that align leadership around one shared picture, so roadmap, capacity, and GTM decisions come from the same data, not conflicting spreadsheets.
Talk about your reporting
03
Business Process Automation
We automate high-friction data operations and reporting workflows, freeing your engineers and analysts from weekly manual grind so they can focus on shipping product.
Identify what to automate
04
Business AI Adoption
We deploy IQ Chat (support copilot), IQ Connect (cross-system automation), and IQ Assistant (back-office task orchestration), built for daily engineering and operations use, governance-ready, and designed to reach production.
Talk AI for your team
IQNOVO software and technology services networkIQNOVO software and technology services network
Proven Results
~0%

A technology client reduced data prep and reporting time by roughly 80% after consolidating product, engineering, and GTM systems into a single governed layer and automating their source-to-insight pipelines. That's the kind of first milestone we build every technology engagement around.

0+
systems unified into one reporting layer, product, engineering, and GTM data in a single dependable view, without replacing the tools each team uses
0 day
response time from a senior team member, you speak to the people who will do the work, from the first call
0 hubs
San Francisco Bay Area and Seattle, hands-on delivery for the software and technology teams building there
How Engagements Start

We start from your engineering stack,
not a generic data playbook.

Step 01
Discovery & Stack Mapping
We map your current data landscape, product analytics, warehouse/lake, GTM tools, and reporting workflows, and identify the highest-friction point to address in the first milestone.
Step 02
Prioritised Roadmap
You receive a phased plan with clearly scoped outcomes, technical dependencies, and where we can create measurable value in the shortest time, without committing to a multi-year programme upfront.
Step 03
Senior, Hands-On Delivery
Senior team members implement alongside your engineering and data leads, document the system, and support adoption, so the result shows up in how your teams ship, not just in a delivery report.
GDPR / CCPA Aligned
Data handled under privacy-regulation-aligned practices across all client engagements
WCAG 2.1 AA
Accessible design built in by default across all reporting and analytics deliverables
Senior Delivery, No Handoffs
The team you brief is the team that delivers. No offshore transfer, no account manager layer
FAQ

Questions we hear from software and technology teams

Yes. We work across a broad range of modern and legacy data stacks and don't require a specific tech combination. The first conversation is about understanding your environment, what you have, where the friction is, and what a realistic first outcome looks like.
Yes. Production-ready AI is one of the most common reasons technology companies engage us. We focus on the data foundation, governance, and operational integration required for AI to survive beyond a demo, not just the model layer.
No. We work with growing product teams and scaled engineering organisations alike. Engagements are scoped to your stage, a first milestone might unify 3, 5 systems, not 30. The goal is measurable value at your scale.
Common first milestones include: a unified reporting layer across product and GTM systems, an automated pipeline that eliminates a specific manual data prep process, or an executive dashboard that replaces a weekly manual reporting cycle. We define this together in discovery.
A senior team member responds within one business day, to understand your stack and propose the most useful next step. There's no sales pressure and no obligation.
Get In Touch

Schedule a Consultation

Tell us about your data infrastructure, AI implementation, or reporting challenge. A senior team member will respond within one business day, with a genuine read on where we can help.

Senior team member responds within 1 business day
No obligation, honest assessment of fit, not a pitch
No requirement to have requirements ready, bring the problem
Your data handled under GDPR / CCPA-aligned privacy practices

We respond within one business day. No spam, ever.