AI Engineering for your software
Find the AI that matters.Ship it inside your software.
Our senior engineers work with your team to improve a specific workflow. We identify where AI can help and build it into your product or the tools you already use.
AI Discovery: 2 weeks · fixed price · 100% credit toward implementation contracted within 90 days
Illustrative workflow
From email to an approved order
Email arrives
We need 40 units of this part by Friday.
AI prepares a draft
Find the part; check stock and terms for 40 units.
Your team reviews
Confirm quantity and delivery date.
Order recorded
Save the approved order in the existing system.
Trusted by
Featured case study
A voice assistant for Amgen's field sales team
Shipped 2019 · Conversational AI before the LLM era
Amgen's sales team needed sales goals, customer history, and sample shipment details on the road. We built Frankie, a voice assistant that let reps ask for that information between visits.
View case study“Sophilabs presented us with a product that we were proud to show people.”
Where does AI belong in your software?
Two entry points
For the product you sell
Help users find information, draft a response, or complete a task from inside your product, with permissions and review built into the flow.
How to add AI to your productFor the systems that run your operations
Work with a senior engineer to connect tools, keep business rules available, and turn a manual process into software your team can use.
Work with an engineerThe engineering behind the work.
What we do
01
AI Engineering
Assistants, document processing, and agents, evaluated on the tasks your team needs them to do.
02
Product Development
A senior team to design, build, and test the features your product needs, with an agreed scope for each delivery.
03
Modernization
Update the parts of your system that make changes difficult. Plan the transition around the people who rely on it.
AI Discovery Sprint
When the opportunity or scope is still unclear, spend two weeks with the engineers who would build it. You leave with prioritized use cases, a feasibility assessment, and a plan for the first delivery.
Fixed price, credited 100% toward implementation contracted within 90 days.
What you take away
- AI opportunity map
- Prioritized use cases with ROI estimates
- Technical feasibility and data requirements
- Pilot definition and execution roadmap
If the scope is already clear, we can start with implementation. For ongoing work, keep building with the same team through a monthly subscription priced around agreed deliverables.
What working together looks like
Three commitments
01
Work with the systems you have
We check which tools can stay, what needs to connect, and where custom software would help.
02
Direct access to the engineers
The people who help define the scope stay involved through delivery. You review the work with them.
03
Your cloud, your data, your controls
We agree on data access, model hosting, and deployment with your team. Security and compliance requirements shape those choices.
Sophilabs is the booster rocket for my startup. Their work is great, and they made my success their goal so I can focus more on my startup’s future.
Jared ChungCEO, CareerVillageThe architecture and design choices that sophilabs made at the outset really paid off handsomely.
Arvindra SehmiCIO, Oxford EconomicsSophilabs presented us with a product that we were proud to show people.
Noel GomezData Science Lead, AmgenTheir responsiveness made our project a success for all parties. We are very happy with the technical know-how and service provided by Sophilabs.
Aydin AcarCEO, InfluensterThey’re very progressive, and they always bring fresh ideas.
Larry CuddyCCO, Envio 360
A clear path from question to running system
Process
01 / Understand
Review the workflow, available data, and questions that need an answer.
02 / Scope
Agree on the first delivery and how to judge it.
03 / Build
Build in your environment and test with the people who will use it.
04 / Operate
Agree on monitoring, ownership, and the next changes.
Your team reviews the software against the agreed cases.
What should your software do next?
Tell us how it works today and what gets in the way. An engineer will help you think through a first delivery.