Technology Consulting
We help organizations solve complex technology problems through experienced teams spanning software engineering, cloud, data, AI, security, design, and consulting.
Expertise across
Strategy + delivery
Connect technology decisions with hands-on implementation.
Multidisciplinary teams
Bring together the expertise the problem actually requires.
Built for the long term
Prioritize quality, ownership, reliability, and maintainability.
What We Do
Complex technology problems rarely belong to one discipline. We bring together the engineering, cloud, data, AI, security, design, and consulting capabilities needed for the challenge.
Design, build, modernize, and scale software products, platforms, APIs, and engineering foundations.
Turn data and AI opportunities into dependable platforms, analytics capabilities, and production-ready applications.
Build cloud foundations, delivery platforms, automation, and reliability practices that help teams move with confidence.
Integrate security into applications, cloud environments, identity, architecture, and engineering delivery.
One Problem, Multiple Disciplines
A modernization program may involve software engineering, cloud, security, data, and product thinking at the same time. We shape teams around what the work requires rather than forcing every engagement into one predefined service category.
Featured Work
Our case-study experience is designed to show how technology challenges can be approached across architecture, engineering, cloud, data, AI, security, and delivery.
The examples shown here are representative development content, not claims about named clients or verified commercial outcomes.
Cloud Modernization
An illustrative example of how a legacy platform could be modernized through cloud architecture, platform engineering, infrastructure automation, and improved delivery practices. The example follows platform ownership, deployment flow, reliability, and the decisions a team needs to keep the system moving.
AI & Data
An illustrative engagement showing how data foundations, AI architecture, evaluation, software engineering, and operations can come together around a practical use case. It follows the path from data quality and model evaluation to a system a team can actually run.
Digital Product
An illustrative example of combining product thinking, software engineering, APIs, cloud foundations, and delivery practices to support a growing digital platform. The example looks at how experience, interfaces, and engineering quality stay aligned as the product changes.
Explore the full Work section for deeper examples of challenges, architecture decisions, delivery approaches, and illustrative outcomes.
Explore All WorkIndustries
The same technology approach does not work everywhere. Industry context influences architecture, regulation, risk, delivery, customer expectations, and how systems need to evolve.
Modernize platforms, strengthen engineering foundations, improve data capabilities, and support secure technology delivery in complex financial environments.
Build dependable digital platforms, data foundations, integrations, and secure technology capabilities across healthcare environments.
Improve digital commerce, customer experiences, product platforms, data systems, and the technology foundations needed for continuous change.
Connect operational technology with modern software, cloud, data, and platform capabilities to support more adaptable technology environments.
Help product and technology companies build scalable platforms, strengthen engineering practices, and evolve architecture as the business grows.
Industry Context Matters
Regulations, operating models, legacy systems, customer expectations, security requirements, and organizational maturity all affect the right technical approach. We connect engineering decisions with that wider context.
Explore all industriesBuild With Us
Strivanta is a place to solve difficult technology problems, learn across disciplines, and take real ownership of the work.
Insights
Explore long-form perspectives on software engineering, cloud, data, AI, architecture, delivery, and the decisions that shape modern technology systems.
AI & Data
A practical perspective on moving AI initiatives beyond prototypes by focusing on data, evaluation, architecture, operations, and security.
Cloud
How organizations can modernize cloud foundations while balancing platform strategy, architecture, delivery, reliability, and ownership.
Software Engineering
A perspective on architecture, APIs, platform engineering, developer experience, observability, and long-term ownership.
Editorial Context
Current articles are representative editorial content used to establish the Insights experience. Production content should be replaced with real published perspectives, verified authorship, and appropriate publication information.
Happy Clients
Notes from the people who owned the platform, the clinic, or the release.
They rebuilt our lending platform without stopping originations. A release that used to take a weekend now goes out on a Tuesday afternoon.
CEO at Northline Ledger
March 12, 20259:40 AM
The front desk was still reconciling schedules by hand. The platform they left us is the one the clinics actually open every morning.
Chief Operating Officer at Harbor & Pine
January 28, 20252:15 PM
Checkout had to change with the season, not with a rewrite. Strivanta got the storefront there in a single engagement.
Founder at Veldt Commerce
November 6, 202411:05 AM
Plant data finally lands where the operations team can trust it. The cutover ran long, and they stayed until the floor was comfortable.
VP of Operations at Kiln Circuit
August 19, 20244:30 PM
They sat in the architecture reviews with us. We can add another product line now without opening the platform back up.
Chief Technology Officer at Lumenfold
June 3, 202510:20 AM
The model left the notebook. Pipelines, evaluation, and the on-call path are things my team runs, not a demo we hope will hold.
Head of Data at Brackish Analytics
April 16, 20251:50 PM
We moved delivery onto the cloud while policies were still being written. Nothing a customer could see actually stopped.
Chief Information Officer at Copperline Mutual
February 3, 20258:55 AM
Deployments used to be a Thursday problem. The logistics platform and the automation around it now move on the same day.
VP of Engineering at Sable Route
September 24, 20243:10 PM
Two clinical systems, one patient. We stopped copying the same chart into both before the afternoon clinic.
Director of Clinical Systems at Aster Field
May 21, 20257:45 AM
Catalog, storefront, and the numbers behind a purchase finally agree. That was the whole brief, and they treated it that way.
Chief Product Officer at Meridian Thread
December 11, 202412:25 PM
Operations software and the cloud path under it were modernized as one job. We did not have to hire a second firm to finish it.
Chief Operating Officer at Quaylight Energy
July 8, 20249:15 AM
Security used to arrive after the release. It now sits in the path our engineers already use to ship.
Chief Information Security Officer at Redwood Signal
October 2, 20254:05 PM
Identity and the lending controls could not wait for a later phase. They made that the work, not a follow-up ticket.
Head of Engineering at Palisade Credit
March 27, 202411:40 AM
We had a demo that impressed the room. They stayed until the system could be measured, operated, and handed to our team.
Founder at Kindling Labs
January 14, 20262:35 PM
The first architecture had nowhere left to grow. The foundation they left is the one we are still shipping on.
Chief Technology Officer at Fable Form
August 5, 20256:20 PM
Start a Conversation
Share the problem and where you are in the journey. We can start from the challenge rather than a predefined service category.
