Six positioning scores, 1 to 10.
See Methodology.
| Dimension | Score | vs.Entire Market | vs. Revenue Cohort |
|---|---|---|---|
AI-first AI leads the title tag and headline (AI·DATA·APPLICATIONS·PLATFORM), full AI lifecycle ownership, flagship IOS AI Maturity Model, agentic/genAI thought leadership, major AI partners (Azure OpenAI, Vertex, Databricks), ai_emphasis_raw 82. | 8Strong | Top 40% | Top 34% |
Consultative partner Advisory framing with 'strategy to production', training/enablement, 7.5yr avg partnerships, trust-led outcomes positioning and named transformations (cruise reservation platform); but also offers staff-scale model (Scale Your Team). | 7Strong | Top 29% | Top 27% |
Clear differentiator Sharp, plainly-stated differentiators: 'Trust Changes Everything', NPS 90+, 7.5yr partnerships, equity-free CodeLaunch, #1 certified Confluent engineers — specific and distinctive rather than generic. | 8Strong | Top 1% | Top 2% |
Thought leadership Prolific weekly practitioner-led Improving Talks (200+ since 2022), no registration wall, named senior presenters, substantive POV titles across agentic AI, data governance, security; strong but largely webinar-format rather than deep reports. | 7Strong | Top 16% | Top 9% |
Industry specialization Seven named industries each with specific use cases and marquee clients (Medtronic, NCL, McKesson, Canada Post), mostly 'moderate' depth signals — present breadth but not deep single-sector leadership. | 6Present | Top 53% | Top 57% |
Technology-forward, owns IP Flagship productized IOS AI Maturity Model (high substantiveness, dedicated page) plus Event-as-a-Service reusable pattern; xi.Planning is thin. One strong owned framework anchors a genuine but not deep IP portfolio. | 6Present | Top 40% | Top 39% |
Size
201 to 1,000 people
Revenue
$50M to $250M(medium confidence)
HQ
Dallas, TX
AI emphasis
High
Homepage positioning
“AI · DATA · APPLICATIONS · PLATFORM Trust Changes Everything”
Improving is an enterprise technology services firm delivering AI, data, applications, and platform engineering to leading enterprises. The firm positions itself as an alternative to the trust-deficit in the technology industry, emphasizing long-term partnerships, structured delivery, and high client satisfaction. It operates across 21 offices in 7 countries on 3 continents and serves Fortune 50 clients.
Selling points
- NPS 90+ among the highest in modern enterprise technology services
- 7.5 year average partnership length
- 28 of the world's largest Fortune 50 enterprises trust Improving
- 21 offices across 7 countries and 3 continents
- 8-stage IOS AI Maturity Model — described as the only one of its kind
- 90 days from pilot to production agent (Lakeshore Learning)
- #1 most certified Confluent data streaming engineers in the Americas
- 2025 Confluent Enablement Partner of the Year
- 2023 Google Cloud Partner of the Year - Public Sector
- 74 certified Kubernetes engineers
- Three engagement models: Train Your People, Build Your Solution, Scale Your Team
- 200+ Improving Talks webinars hosted since 2022
- 92 startups accelerated through CodeLaunch
- 107,000+ attendees hosted at user groups since 2020
Named clients
- Lakeshore Learning
- Simpson Strong-Tie
- Medtronic
- Norwegian Cruise Line Holdings
- Berkshire Hathaway Energy
- McKesson
- Canada Post
- Fastenal
- PHSA (Provincial Health Services Authority of BC)
Services and capabilities
AI and ML
Artificial Intelligence: From First Strategy to Full Production
Improving owns the entire AI lifecycle — strategy, training, agent deployment, and machine learning — built on clients' proprietary data. Every engagement is structured around the IOS AI Maturity Model so clients always know where they are and what comes next.
Data and analytics
Data: The Foundation That Makes Everything Work
Improving builds data pipelines, platforms, and governance infrastructure to make data trustworthy, real-time, and production-ready — for AI systems, analytics, and enterprise applications.
Product engineering
Applications: Legacy to Cloud-Native with AI-Enabled Engineering
Improving builds and modernizes enterprise applications with AI woven into how they work — from decomposing monoliths without stopping feature delivery to cloud-native architectures that give teams the autonomy to ship independently.
Cloud and platform
Platform Engineering: The Foundation That Makes Everything Else Work
Improving designs, builds, and operates the cloud, data, and AI infrastructure that gives AI initiatives, data programs, and application modernization a solid foundation to run on — across Azure, AWS, and Google Cloud.
Advisory and strategy
Training & Enablement: AI Workshops and Enablement Programs
Improving offers AI workshops and enablement programs for enterprise teams that need real skills, not just awareness. All sessions are led by practitioners who do this work every day.
Product engineering
Global Delivery: Scale Your Team with Vetted Engineers
Improving provides vetted engineers across North America, LATAM, and India with Mid/Lead/Senior composition and 98% client satisfaction for staff augmentation and managed delivery.
Industries
Healthcare
Named focusAI-powered patient records search and real-time IoT insights for healthcare manufacturers
Logistics and transportation
Named focusAutomated deployment and real-time data streaming for distribution and postal networks
Energy and utilities
Named focusLegacy-to-cloud migration and SAP analytics for energy companies
Travel and hospitality
Named focusMulti-year modernization of reservation platform for cruise line at enterprise scale
Manufacturing
Named focusML in production and real-time data pipelines for industrial manufacturers
Retail and consumer
MentionedAgentic AI lead qualification system for retail/education supply
Public sector
Named focus2023 Google Cloud Partner of the Year - Public Sector; AI-powered patient records for provincial health authority
Thought leadership
Improving runs a prolific, monthly webinar series ('Improving Talks') covering a broad range of enterprise technology topics—AI/ML, data engineering, cloud infrastructure, software delivery, and leadership—demonstrating a mature, practitioner-led thought-leadership program with a deep back-catalog. The content is opinionated and practical, aimed at enterprise technology leaders and developers.
Volume
Prolific
Cadence
~Monthly
Most recent
Oct 21, 2026
- The Streaming Data PlaybookWebinars · Oct 21, 2026
- Platform Engineering: What changes with agents & vibe codingWebinars · Sep 16, 2026
- Automation's 'Closed Loop' Hides a Leadership CrisisWebinars · Aug 19, 2026
- Smarter AI Spending: Controlling Token Costs Without Sacrificing PerformanceWebinars · Jul 22, 2026
- Build Your Own Software Factory: Customized AI-Assisted DevelopmentWebinars
- Evolving Java: What's New—and Why It MattersWebinars
- Wielding AI-Ready TypeScript: The present and future of typed development in the age of AIWebinars
- Kubernetes and OpenShiftWebinars
- Practical Observability in a Multi-Vendor EcosystemWebinars
- Beyond the Walled Garden: Orchestrating, Observing, and Optimizing the Multi-Vendor Ecosystem with GCPWebinars
- Multi-Cloud: When It Makes Sense, When It Doesn't, and How to Avoid Unnecessary ComplexityWebinars
- Data in Motion - Operationalizing the Modern Data PlatformWebinars
- Your Data Needs a Supply ChainWebinars
- Building Trust at Scale for Growth and AI: What to Do First, Next, and Later in Data GovernanceWebinars
- The Road to a Data‑Driven FutureWebinars
- Governance That Actually WorksWebinars
- AI That Works as a TeamWebinars
- From Tools to WorkflowsWebinars
- Beyond AI ToolsWebinars
- Define the Need, Solve the Problem: An AI-First Playbook for DevelopersWebinars
- Vibes Aren't a Strategy: Engineering Context in the Age of AIWebinars
- Technical Leadership in the Age of AIWebinars
- Culture Over Code: How Conscious Companies Thrive with AIWebinars
- The Software Engineer's Career in 2026: Roundtable DiscussionWebinars
- AutomateDV (formerly dbtvault) and Snowflake: Best Practice for a Data Vault model in 2025Webinars
- Data That Delivers: Automated Data Engineering & AnalyticsWebinars
- Platform in Days, Not Weeks: Diagramming to IaC With AIWebinars
- From Prompt to Pull Request: App & Test Code With AIWebinars
- Design in the Loop: Co‑Creating UX With AI (Greenfield & Brownfield)Webinars
- Ship a Feature Faster: AI & the Case for ChangeWebinars
Owned IP
Surfaced from what the firm names on its homepage and primary navigation, plus what a quick crawl turns up. Large firms may own more than is shown here.
IOS AI Maturity Model
FrameworkAn 8-stage AI adoption framework covering three waves — Tools, Process, and Agentic Operations — from Zero AI to full Agentic Operations. Described as the only one of its kind. Provides capabilities, risks, and readiness markers at each stage.
Our assessment: Flagship proprietary framework with a named 8-stage structure and dedicated page; featured prominently in homepage hero and services — reads as genuinely productized.
ViewEvent As A Service (Kafka Streams / Spring Boot platform)
PlatformA platform built for Fastenal that routes real-time data based on record metadata using Kafka Streams and Spring Boot, enabling self-service data routing without requiring consuming teams to have Kafka expertise. Originated from a solution presented at the Confluent Conference.
Our assessment: Named in a client case study with technical detail (Kafka Streams, Spring Boot, metadata-driven routing), but no dedicated product page — reads as a reusable pattern rather than a fully packaged product.
xi.Planning Packages
AcceleratorPackages for energy sector clients migrating from SAP BPC to SAP Analytics Cloud, referenced in an Improving Talks webinar on energy sector innovation.
Our assessment: Named in a webinar title only with no further description on the captured pages; minimal evidence of packaging or broader applicability.
ViewHot-words
The buzzword spaces this firm chooses to lean into.
“Agent Creation & Deployment / Agentic Operations / full Agentic Operations / Agentic AI Lead Qualification”
“Our team owns the outcome, not just the hours”
“Trust Changes Everything / trust is the operating principle, not just the pitch / AI can be used responsibly”
“AI is only as good as the data underneath it / build the pipelines, platforms, and governance infrastructure that make your data trustworthy”
“90 Days from pilot to production agent / Platform in Days, Not Weeks / 60% Faster deployment”
“AI woven into how we work / AI-Enabled Development & Modernization / AI-Assisted Development”
Contact surface
Ways we found to reach this firm.
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