Turn the workflow slowing the team down
into working software.
We’re a two-person product and engineering studio. We build AI tools, automations, and MVPs for teams with a real problem to solve and no time for another strategy deck.




Your Stage
Where Stravika fits
A prototype is stuck at demo. A manual process is eating team time. An AI workflow needs review and accountability. We find the smallest useful build, ship it, and learn from real use.
The prototype works. The product does not yet. — Harden the build, connect the missing systems, and get it ready for real users.
The workflow still depends on copy, paste, and follow-up. — Automate the repeatable steps and keep people in the decisions that need judgment.
The AI output is useful, but not yet trustworthy. — Add evaluation, review queues, and an audit trail before it reaches customers or operations.
Your Stage
Where Stravika fits
A prototype is stuck at demo. A manual process is eating team time. An AI workflow needs review and accountability. We find the smallest useful build, ship it, and learn from real use.
The prototype works. The product does not yet. — Harden the build, connect the missing systems, and get it ready for real users.
The workflow still depends on copy, paste, and follow-up. — Automate the repeatable steps and keep people in the decisions that need judgment.
The AI output is useful, but not yet trustworthy. — Add evaluation, review queues, and an audit trail before it reaches customers or operations.
Your Stage
Where Stravika fits
A prototype is stuck at demo. A manual process is eating team time. An AI workflow needs review and accountability. We find the smallest useful build, ship it, and learn from real use.
The prototype works. The product does not yet. — Harden the build, connect the missing systems, and get it ready for real users.
The workflow still depends on copy, paste, and follow-up. — Automate the repeatable steps and keep people in the decisions that need judgment.
The AI output is useful, but not yet trustworthy. — Add evaluation, review queues, and an audit trail before it reaches customers or operations.
Who We Are
The people in the room are the people doing the work.
Don and Valentina work across product and engineering from the first scoping conversation through the build. No sales handoff. No junior delivery team.
Work directly with Don and Valentina:
Don Cosseboom — Product and AI builder. Built ML systems processing 3.1B+ YouTube videos and delivering 100M+ daily AI predictions while cutting operating costs by 20%.
Valentina Kroshilina — Engineering and delivery lead. Built systems that cut review cycles from days to minutes and designed human-in-the-loop tools that made complex AI workflows faster to test and easier to debug.
Who We Are
The people in the room are the people doing the work.
Don and Valentina work across product and engineering from the first scoping conversation through the build. No sales handoff. No junior delivery team.
Work directly with Don and Valentina:
Don Cosseboom — Product and AI builder. Built ML systems processing 3.1B+ YouTube videos and delivering 100M+ daily AI predictions while cutting operating costs by 20%.
Valentina Kroshilina — Engineering and delivery lead. Built systems that cut review cycles from days to minutes and designed human-in-the-loop tools that made complex AI workflows faster to test and easier to debug.
Who We Are
The people in the room are the people doing the work.
Don and Valentina work across product and engineering from the first scoping conversation through the build. No sales handoff. No junior delivery team.
Work directly with Don and Valentina:
Don Cosseboom — Product and AI builder. Built ML systems processing 3.1B+ YouTube videos and delivering 100M+ daily AI predictions while cutting operating costs by 20%.
Valentina Kroshilina — Engineering and delivery lead. Built systems that cut review cycles from days to minutes and designed human-in-the-loop tools that made complex AI workflows faster to test and easier to debug.
What We Do
What we build
Five common starting points: a prototype that needs to become a product, an AI use case that needs a real system around it, a manual workflow worth automating, AI output that needs human review, or an MVP that needs a buildable plan.
What We Do
What we build
Five common starting points: a prototype that needs to become a product, an AI use case that needs a real system around it, a manual workflow worth automating, AI output that needs human review, or an MVP that needs a buildable plan.
What We Do
What we build
Five common starting points: a prototype that needs to become a product, an AI use case that needs a real system around it, a manual workflow worth automating, AI output that needs human review, or an MVP that needs a buildable plan.
Testimonials
What changed after the build
Clients describe the work better than a claim stack can.
20K+ images, 94% matched automatically — Don saved us weeks of work.

Mike Gary
Artlifting
Don turned a fuzzy scope into a clear MVP plan — with two full-stack prototypes to align the team before build.

Laura Taylor
ARInsights
Don’s AI solution helped us tackle 90K+ images using the best wildlife identification platform to cut review time and get caught up for the first time ever — likely saving us weeks of work.

Alex Meinders
National Audubon Society
20K+ images, 94% matched automatically — Don saved us weeks of work.

Mike Gary
Artlifting
Don turned a fuzzy scope into a clear MVP plan — with two full-stack prototypes to align the team before build.

Laura Taylor
ARInsights
Don’s AI solution helped us tackle 90K+ images using the best wildlife identification platform to cut review time and get caught up for the first time ever — likely saving us weeks of work.

Alex Meinders
National Audubon Society
20K+ images, 94% matched automatically — Don saved us weeks of work.

Mike Gary
Artlifting
Don turned a fuzzy scope into a clear MVP plan — with two full-stack prototypes to align the team before build.

Laura Taylor
ARInsights
Don’s AI solution helped us tackle 90K+ images using the best wildlife identification platform to cut review time and get caught up for the first time ever — likely saving us weeks of work.

Alex Meinders
National Audubon Society
20K+ images, 94% matched automatically — Don saved us weeks of work.

Mike Gary
Artlifting
Don turned a fuzzy scope into a clear MVP plan — with two full-stack prototypes to align the team before build.

Laura Taylor
ARInsights
Don’s AI solution helped us tackle 90K+ images using the best wildlife identification platform to cut review time and get caught up for the first time ever — likely saving us weeks of work.

Alex Meinders
National Audubon Society
Testimonials
What changed after the build
Clients describe the work better than a claim stack can.
20K+ images, 94% matched automatically — Don saved us weeks of work.

Mike Gary
Artlifting
Don turned a fuzzy scope into a clear MVP plan — with two full-stack prototypes to align the team before build.

Laura Taylor
ARInsights
Don’s AI solution helped us tackle 90K+ images using the best wildlife identification platform to cut review time and get caught up for the first time ever — likely saving us weeks of work.

Alex Meinders
National Audubon Society
20K+ images, 94% matched automatically — Don saved us weeks of work.

Mike Gary
Artlifting
Don turned a fuzzy scope into a clear MVP plan — with two full-stack prototypes to align the team before build.

Laura Taylor
ARInsights
Don’s AI solution helped us tackle 90K+ images using the best wildlife identification platform to cut review time and get caught up for the first time ever — likely saving us weeks of work.

Alex Meinders
National Audubon Society
20K+ images, 94% matched automatically — Don saved us weeks of work.

Mike Gary
Artlifting
Don turned a fuzzy scope into a clear MVP plan — with two full-stack prototypes to align the team before build.

Laura Taylor
ARInsights
Don’s AI solution helped us tackle 90K+ images using the best wildlife identification platform to cut review time and get caught up for the first time ever — likely saving us weeks of work.

Alex Meinders
National Audubon Society
20K+ images, 94% matched automatically — Don saved us weeks of work.

Mike Gary
Artlifting
Don turned a fuzzy scope into a clear MVP plan — with two full-stack prototypes to align the team before build.

Laura Taylor
ARInsights
Don’s AI solution helped us tackle 90K+ images using the best wildlife identification platform to cut review time and get caught up for the first time ever — likely saving us weeks of work.

Alex Meinders
National Audubon Society
Testimonials
What changed after the build
Clients describe the work better than a claim stack can.
20K+ images, 94% matched automatically — Don saved us weeks of work.

Mike Gary
Artlifting
Don turned a fuzzy scope into a clear MVP plan — with two full-stack prototypes to align the team before build.

Laura Taylor
ARInsights
Don’s AI solution helped us tackle 90K+ images using the best wildlife identification platform to cut review time and get caught up for the first time ever — likely saving us weeks of work.

Alex Meinders
National Audubon Society
20K+ images, 94% matched automatically — Don saved us weeks of work.

Mike Gary
Artlifting
Don turned a fuzzy scope into a clear MVP plan — with two full-stack prototypes to align the team before build.

Laura Taylor
ARInsights
Don’s AI solution helped us tackle 90K+ images using the best wildlife identification platform to cut review time and get caught up for the first time ever — likely saving us weeks of work.

Alex Meinders
National Audubon Society
20K+ images, 94% matched automatically — Don saved us weeks of work.

Mike Gary
Artlifting
Don turned a fuzzy scope into a clear MVP plan — with two full-stack prototypes to align the team before build.

Laura Taylor
ARInsights
Don’s AI solution helped us tackle 90K+ images using the best wildlife identification platform to cut review time and get caught up for the first time ever — likely saving us weeks of work.

Alex Meinders
National Audubon Society
20K+ images, 94% matched automatically — Don saved us weeks of work.

Mike Gary
Artlifting
Don turned a fuzzy scope into a clear MVP plan — with two full-stack prototypes to align the team before build.

Laura Taylor
ARInsights
Don’s AI solution helped us tackle 90K+ images using the best wildlife identification platform to cut review time and get caught up for the first time ever — likely saving us weeks of work.

Alex Meinders
National Audubon Society
Benefits
Small by design.
Work directly with two senior builders who can move from the product question to the technical implementation without a handoff in between.
One working team — Product and engineering decisions happen together, with the client in the loop.
Build to learn — The first version is designed to answer the riskiest question, not impress a steering committee.
Human judgment stays visible — AI handles the repeatable work; people keep the approvals, exceptions, and accountability.
Proof close to the claim — 94% automatic image matching, 90K+ images brought under control, and review cycles cut from days to minutes..
Bring us the workflow, prototype, or AI use case that is not working yet.
We’ll unpack the problem, identify the riskiest part, and tell you whether a focused build is the right next step. If it is not, we’ll say so.









Bring us the workflow, prototype, or AI use case that is not working yet.
We’ll unpack the problem, identify the riskiest part, and tell you whether a focused build is the right next step. If it is not, we’ll say so.









Bring us the workflow, prototype, or AI use case that is not working yet.
We’ll unpack the problem, identify the riskiest part, and tell you whether a focused build is the right next step. If it is not, we’ll say so.













