Our verdict
Infinitive pairs data and AI engineering with governance, risk, and change management, and it sells packaged Databricks engagements such as a proof of value for an AI agent in as little as four weeks (Infinitive; Infinitive on LinkedIn). It suits a bank, insurer, or health plan that needs AI controls and adoption handled alongside the build, and it is less suited to a buyer who wants a product studio for a consumer app.
The right buyer
- Regulated companies that need AI governance built in. It brings governance, risk, and compliance experts onto data and AI work (Infinitive).
- Databricks customers moving to production. It is a Databricks Silver Tier partner with packaged lakehouse migration, Unity Catalog governance, and Genie offerings (Infinitive).
- Financial services teams working on AML and fraud. Its Databricks offerings include financial crime prevention built around the client’s AML program (Infinitive).
Reasons to look elsewhere
- Its work centers on Databricks, AWS, and Azure, so a buyer on Snowflake or Google Cloud should check depth on that platform.
- Its focus is regulated enterprises, so a startup building a consumer AI product should compare product studios.
Infinitive, At A High Level
Denis McFarlane founded Infinitive in 2003 after 12 years at Andersen Consulting and Accenture, and Accenture colleague Phil Kyle joined him about two years later (Profiles in Success). The firm is based at 20405 Exchange Street in Ashburn, Virginia, and today calls itself a data and AI consultancy focused on trusted enterprise AI (Infinitive on LinkedIn; Infinitive). It works in financial services, wealth management, health plans, insurance, payments, the public sector, energy, and manufacturing (Infinitive). It works across Databricks, AWS, and Azure and connects Lakeflow, Unity Catalog, Databricks SQL, Mosaic AI, and Databricks Apps to its clients’ operations (Infinitive; Infinitive).
- 51 to 200 employees on LinkedIn; we estimate annual revenue at $30 million to $50 million (Infinitive on LinkedIn).
- No. 14 on Consulting Magazine’s 2026 Best Firms to Work For list, its 10th appearance (Infinitive on LinkedIn).
- Nine-time Consulting Magazine Best Small Firms to Work For winner and eight-time Virginia Business Best Place to Work (Infinitive).
- Packaged Databricks offerings for lakehouse migration, Unity Catalog governance, AI/BI Genie, financial crime, policy intelligence agents, and cybersecurity data (Infinitive).
Scores by criterion
We scored Infinitive from its service and partner pages, LinkedIn company profile, and founder profile. Stability scores highest because of its 23-year history; commercial clarity scores lowest because rates are not public.
| Criterion | Weight | Score | Basis |
|---|---|---|---|
| Production track record | 20% | 7.0 | Production Databricks, governance, and agent work for regulated industries. |
| Technical depth | 15% | 7.0 | Data engineering, governance, AI agents, and GRC expertise. |
| Industry depth | 10% | 7.0 | Banking, insurance, payments, health plans, and wealth management. |
| Delivery model and handoff | 15% | 7.0 | Packaged activation, production, and scale engagements with knowledge transfer. |
| Commercial clarity | 10% | 6.0 | Defined packaged engagements; rates not published. |
| Platform independence | 10% | 6.5 | Databricks, AWS, and Azure. |
| Stability and scale | 10% | 8.0 | Founded 2003, 51 to 200 staff, founder-led for more than 20 years. |
| Independent evidence | 10% | 6.5 | Databricks Silver Tier status and Consulting Magazine workplace rankings. |
| Overall | 100% | 6.9 | Weighted average |
Where Infinitive fits
Infinitive is used by banks, payments companies, insurers, health plans, and asset managers in and around Washington, D.C., and across the U.S. that want AI in daily operations with controls a risk team will accept. It is best for Databricks lakehouse and governance work, AML and fraud data, and moving pilots into production. On price it sits in the upper mid-market tier, with an onshore U.S. team. On this site it competes with Koantek and Blueprint Technologies for Databricks work.
| Need | Fit | Why |
|---|---|---|
| Databricks migration and Unity Catalog governance | Strong | It has packaged offerings for both. |
| AI with risk and compliance controls | Strong | It staffs governance, risk, and compliance experts on AI work. |
| AML and fraud data in banking | Strong | It sells a Databricks financial crime offering. |
| A consumer AI app | Weak | Its work centers on regulated enterprises. |
What clients and leaders say
Infinitive’s leaders and clients describe its work in published announcements. One buyer concern is written from public facts about the firm.
“It’s about making sure people enjoy the experience of working together and the value of your service.”
“When Infinitivians are empowered, heard and trusted, great things happen.”
“The past 19+ years have been an awesome ride and I’m super excited for the future of Infinitive!”
“They were good at getting our risk and data teams to agree on controls, but the packaged Databricks offers fit us better than anything off that platform.”
Where customer reviews couldn’t be found, our analysts attempted to give a voice to buyer sentiment, drawing on real information from review sites, forums and product documentation. Based on: Infinitive’s Databricks page, which lists its packaged offerings, and its partners page, which centers on Databricks, AWS, and Azure.
Who leads Infinitive
Denis McFarlane founded Infinitive in 2003; in November 2024 he announced a move to executive chairman with Phil Kyle as CEO, and Infinitive’s October 2026 LinkedIn post calls him founder and CEO (Denis McFarlane on LinkedIn; Infinitive on LinkedIn).
Sources (9)
- Infinitive: homepage
- Infinitive: about us
- Infinitive: Databricks consulting
- Infinitive: technology partners
- Infinitive: LinkedIn company page
- Infinitive on LinkedIn: Consulting Magazine 2026 Best Firms to Work For (October 2026)
- Profiles in Success: Denis McFarlane, A Good Example (September 2011)
- Denis McFarlane on LinkedIn: executive chairman transition (November 2024)
- Phil Kyle on LinkedIn (November 2024)