make your data work harder for your business.
trusted data, connected to ai that fits how your teams already work, to solve real business problems and deliver measurable value.
more ai does not automatically mean more value.
ai is becoming part of everyday work. but access to powerful models alone cannot fix fragmented data, connect disconnected systems, or change how work actually gets done.
88%
of respondents report that their organizations use ai in at least one business function.
McKinsey, 2025
7%
of respondents report that ai has been fully scaled across their organizations.
McKinsey, 2026
55%
of surveyed organizations reported avoiding certain generative ai use cases because of data-related issues.
Deloitte, 2024
the value of ai is determined by what the business can do differently because of it.
the value of ai is determined by what the business can do differently because of it.
ai is only as useful as the business built around it.
the model is only part of what makes ai work. what it knows, where it operates, how people use it, and what the business needs from it shape what it delivers.
data
it has to know enough to be useful.
give ai reliable context from data that is available, connected, and trusted.
intelligence
it has to reveal something worth acting on.
turn data into signals and insights that change what people can see and decide.
engineering
it has to hold when the business depends on it.
engineer ai into the systems, products, and workflows where it must perform reliably.
people
it has to work for the people using it.
design ai around how people decide, create, and work, with the context and control they need.
business
something has to change because of it.
connect ai to the result that justified the investment, whether revenue, cost, speed, customer experience, risk, or capability.
data
it has to know enough to be useful.
give ai reliable context from data that is available, connected, and trusted.
intelligence
it has to reveal something worth acting on.
turn data into signals and insights that change what people can see and decide.
people
it has to work for the people using it.
design ai around how people decide, create, and work, with the context and control they need.
engineering
it has to hold when the business depends on it.
engineer ai into the systems, products, and workflows where it must perform reliably.
business
something has to change because of it.
connect ai to the result that justified the investment, whether revenue, cost, speed, customer experience, risk, or capability.
ai works better when everything around it works together.
from strategy and data to engineering and adoption, connect every layer around the outcomes your business needs.
see how ai can help you
turn your data into capabilities your business can build on.
from data readiness to production ai, we build around your goals and make the most of your existing investments, working with the technology that fits you best.
data & ai strategy
know where ai can create value.
set priorities, test the business case, and establish the data, skills, and controls to move beyond pilots.
data & ai strategy · ai roadmaps · use-case prioritization · investment planning · ai operating models
generative & agentic ai
turn organizational knowledge into answers and action.
build ai that helps people serve customers and complete work, with clear boundaries for autonomy and human oversight.
generative ai applications · enterprise ai agents · knowledge-powered ai · ai-enabled workflows · human oversight
data platforms & engineering
spend less time reconciling information and more time using it.
connect fragmented data and build a trusted foundation for decisions, analytics and ai.
cloud data migration · data warehouses and lakehouses · pipelines and integration · unstructured data for ai
responsible ai & governance
move forward with ai without losing accountability.
make ownership, data quality, privacy and oversight part of how ai is built and used.
ai governance · data quality · privacy and security · ai policies and controls · human oversight
ai integration & adoption
make ai useful where work already happens.
integrate it into existing systems, help teams adopt it and improve performance as real-world use grows.
enterprise ai integration · ai deployment · workflow integration · performance monitoring · continuous improvement
data & ai strategy
know where ai can create value.
set priorities, test the business case, and establish the data, skills, and controls to move beyond pilots.
data & ai strategy · ai roadmaps · use-case prioritization · investment planning · ai operating models
responsible ai & governance
move forward with ai without losing accountability.
make ownership, data quality, privacy and oversight part of how ai is built and used.
ai governance · data quality · privacy and security · ai policies and controls · human oversight
generative & agentic ai
turn organizational knowledge into answers and action.
build ai that helps people serve customers and complete work, with clear boundaries for autonomy and human oversight.
generative ai applications · enterprise ai agents · knowledge-powered ai · ai-enabled workflows · human oversight
ai integration & adoption
make ai useful where work already happens.
integrate it into existing systems, help teams adopt it and improve performance as real-world use grows.
enterprise ai integration · ai deployment · workflow integration · performance monitoring · continuous improvement
data platforms & engineering
spend less time reconciling information and more time using it.
connect fragmented data and build a trusted foundation for decisions, analytics and ai.
cloud data migration · data warehouses and lakehouses · pipelines and integration · unstructured data for ai
Distil.ai is a SaaS platform designed to help marketers collect data from all the platforms they use into one central Customer Data Layer then deploy that to multiple tools without the use of the business's engineering team.
As you can imagine if you manage to get this right in your business it saves a huge amount of money at the same time as it increases the effectiveness of all your marketing. But from our point of view, it's a complicated task to wrap this up into a simple UX.
Gerry McNicol
CEO, BIG Data ConsultingExeter, United Kingdom
The team went out of their way to really understand our business, our clients’ use cases, and our challenges so as to help us deliver the best possible product.
During the project, we saw how competent the team was in the areas that mattered, such as, User Experience, Prototyping, and Visual Design. The project was on time and ensured our development schedules were respected throughout. The quality of work we’ve received has also been top-notch. Very pleased with the end result.
Raphael Morozov
Chief Technology OfficerLos Angeles, CA
helped us imagine a custom interface for a healthcare product in a matter of days. I was impressed with the speed of execution, responsiveness iterating based on input over the weekend, and the quality of the UX we got - which was ready to share with my executive partners.
Nate Beyor
Managing Director & Partner, BCGGlobal Leader – Healthcare
Heartfelt thanks to the team for the outstanding work on the project.Your dedication, creativity, and collaboration were instrumental in making our website launch a success. From planning and design to development, testing, and final delivery, every contribution made a difference. We deeply appreciate the effort, responsiveness, and professionalism demonstrated throughout the process.
Krishna Peesapati
Chief Operating Officer
the team transformed our concept into a scalable, end-to-end solution with precision, innovation, and a commitment that felt like working with our own in-house team.
With their expertise, we transformed StudioPod into a seamless, professional solution combining convenience and top-notch quality.
Chris Bailey & Joseph West
Co-Founders
Working with this team has been such a joy. We have an outsourcing relationship that has stood the test of time. One of the biggest positives fo us has been the team’s ability to take an idea from scratch, think through it, and design every step in the interaction model.
Brijesh Patel
Chief Technology Officer
i’ve been incredibly happy with the effort. the team made a significant and important contribution to our product, and we couldn’t have asked for anything more.
Itai Gurari
Founder & CEOone partner across everything it takes to make ai work.
clarient brings strategy, data, design, engineering, and adoption together in one team, keeping every step tied to your business goals, from the first conversation to the results you see.
business-led from the start
start with what needs to change.
we establish the business case and the result that matters before deciding where ai belongs.
strategy stays connected to execution
the thinking carries through to the work.
strategy, data, design, and engineering stay connected as the solution moves from the initial decision into production.
enterprise realities shape what gets built
build for the environment ai has to work in.
existing systems, integration, security, governance, and operational requirements shape the solution from the start.
experience and adoption are part of the solution
make it work for the people who use it.
we design around real decisions and workflows, with the context and control people need to use ai effectively.
capability grows with the business
what we build, you own.
your teams gain the knowledge, tools, and control to operate, adapt, and improve what has been built.
business-led from the start
start with what needs to change.
we establish the business case and the result that matters before deciding where ai belongs.
strategy stays connected to execution
the thinking carries through to the work.
strategy, data, design, and engineering stay connected as the solution moves from the initial decision into production.
experience and adoption are part of the solution
make it work for the people who use it.
we design around real decisions and workflows, with the context and control people need to use ai effectively.
enterprise realities shape what gets built
build for the environment ai has to work in.
existing systems, integration, security, governance, and operational requirements shape the solution from the start.
capability grows with the business
what we build, you own.
your teams gain the knowledge, tools, and control to operate, adapt, and improve what has been built.
make your next ai decision count.
whether you’re deciding where to start, what to build, or how to scale, we bring the right people to make ai deliver for your business.
let’s talk