
Trust Changes Everything
NPS 80+
Among the Highest in modern enterprise technology services
7.5 Years
Average Partnership Length prioritizing relationships, not projects
Fortune 50
28 of the World's Largest enterprises trust Improving to deliver
21 Offices
Global Delivery Footprint across 7 countries, and 3 continents
The Industry Has a Trust Problem. Improving Was Built as the Alternative.
The technology industry has conditioned buyers to expect overpromising, understaffing, and scope creep. Improving was built as the alternative. This is what Artificial Intelligence, Data, Applications, and Platform expertise looks like when trust is the operating principle, not just the pitch.
AI-Enabled Engineering. Legacy to Cloud-Native.
We build and modernize enterprise applications with AI woven into how we work, not bolted on after. From decomposing a monolith without stopping feature delivery to cloud-native architectures that give your teams the autonomy to ship independently. The average Improving applications engagement runs 7.5 years. That's not a project. That's a partnership.
AI-Enabled Development & Modernization →
DevOps & Platform Engineering →
Enterprise Integration & APIs →
Application Production Support →
Multi-Year
Norwegian Cruise Line Holdings modernization partnership
2023
Google Cloud Partner of the Year - Public Sector
60%
Faster deployment for Berkshire Hathaway Energy

Agentic AI Lead Qualification: From Pilot to Production in 90 Days
Lakeshore Learning needed to qualify high-intent prospects at scale without adding headcount. Improving built an Agentic AI system that connects to live data, qualifies leads autonomously, and hands off to sales with full context, deployed in 90 days.
3x
Increase in Qualified Leads
90
Days to Production
42%
Faster Operating Speed
We Bring a Structured Maturity Model, Not Just Tools, to Every AI Engagement
Improving's Intelligence Operating System (IOS) defines 8 stages of AI adoption, from Zero AI to full Agentic Operations. It removes the guesswork from every engagement and replaces expensive experimentation with a clear, structured path forward.
WAVE 1
Tools
Stages 1-2
From zero AI usage to off-the-shelf AI assistance. Humans approve every action, building the foundational trust required to advance.
WAVE 2
Process
Stages 3-4
AI moves beyond individual tasks to full workflows and governance infrastructure becomes essential. This is where most organizations stall.
WAVE 3
Agentic Operations
Stages 5-8
Agents run autonomously, coordinate in parallel, and span multiple products. This is where organizations stop managing AI and start operating with it.

Three Ways to Work With Improving
The large firms sell scale. Boutiques sell specialization. We sell trust. And we back it with three engagement models built around your outcomes, your team, and your timeline.
Train Your People
AI Workshops and enablement programs for teams that need real skills, not just awareness. All led by practitioners who do this work every day.
Build Your Solution
Managed delivery of AI systems, applications, and data platforms from strategy through production. Our team owns the outcome, not just the hours.
Scale Your Team
Vetted engineers across North America, LATAM, and India. Mid/Lead/Senior composition, 98% client satisfaction, and relationships that hold.

The Best Companies Build More Than Software
Some of what we're proudest of has nothing to do with client work. It's the community meetups in our offices, the startups we've accelerated, and the practitioners who show up every week to teach for free.

200+
Improving Talks webinars hosted since 2022
92
Startups Accelerated through CodeLaunch
107,000+
Attendees hosted at our User Groups since 2020
14+
Years of investing in our communities

Improving Talks
Live practitioner sessions on real technical challenges, from AI, data, engineering, and more. No registration wall. No sales pitch. Open to everyone in the community.
Every Wednesday
Live sessions, open to all
CodeLaunch
An equity-free startup accelerator where we give early-stage companies professional software development. No equity, no entry fee. Just investment in the ecosystem.
$50K+
Grand prize per cycle, no strings attached
User Groups & Meetups
We open our offices to local technology communities across our cities for meetups, workshops, and gatherings that have nothing to do with our pipeline and everything to do with the people in them.
21 Offices
Across 7 countries where our doors are open
We Don't Just Hold Partner Status. We Build Things With Partners For Clients Like You.
Every platform in our ecosystem earned its place through real delivery. Here's what that looks like across our most active partnerships.

A Modern Reservation Platform Built on Azure
Microsoft Azure gave us the cloud infrastructure and services to build a scalable, service-oriented platform capable of handling reservations, pricing, and vacation planning at enterprise scale, without downtime.
CLIENT OUTCOME
Since 2019 / 40+ person team serving 2M+ passengers across 32 ships

AI-Powered Records Search on Google Cloud
Google Vertex AI and the Healthcare API gave us the semantic search and summarization capabilities to transform how clinicians retrieve patient records, reducing retrieval time and improving decision-making at the point of care.
CLIENT OUTCOME
AI-Powered / Next-generation search across patient records in Canada

Global Automated Deployment Powered by Confluent
Confluent Kafka provided the real-time data streaming infrastructure that made automated, reliable deployment possible at every location, enabling McKesson to meet DSCSA regulatory deadlines without manual intervention.
CLIENT OUTCOME
91% faster / Deployment time reduced from 4-6 hours to 33 minutes

Ready to Work With a Firm You Can Actually Trust?
Tell us where you are and we'll tell you exactly how we can help. No generic proposals. No sales pitch. Just a direct conversation about your situation.
We respond within one business day
You'll get a real conversation, not a pitch deck
No commitment required to start the conversation
If we're not the right fit, we'll tell you that too



























