Solutions
Solve the technical problems slowing your business down.
Most engagements start with a problem, not a service line. These are the situations we are asked about most often, and what we actually do in each one.
Launch a New Product
From idea and architecture through development and deployment. We help you get a real, usable first version in front of users without building three years of product you do not need yet.
You might recognize this
- You have a validated idea and no engineering team yet
- An internal prototype needs to become something customers can use
- You need a technical plan before committing to a budget
What the work looks like
- Scope and architecture defined before development starts
- A working first release, deployed and instrumented
- A codebase your future team can pick up
Scale an Existing Product
Improve performance, architecture, infrastructure, and development capacity. Usually the constraint is one specific thing — we find it before proposing a rewrite.
You might recognize this
- Response times degrade as usage grows
- Infrastructure costs are rising faster than revenue
- The roadmap is limited by engineering capacity, not ideas
What the work looks like
- Performance profiling and targeted optimization
- Architecture and data-model changes where they pay off
- Additional engineers working inside your existing process
Modernize Legacy Software
Refactor outdated systems and introduce modern technologies — incrementally, so the business keeps running while the software changes underneath it.
You might recognize this
- The system works but is expensive and risky to change
- The original developers are no longer available
- Dependencies are unsupported or a security concern
What the work looks like
- Assessment of what to keep, replace, and retire
- Incremental migration with the old system still serving traffic
- Test coverage added before behavior is changed
Improve a Model With Human Feedback
RLHF, evaluation, and expert-generated data for a model that is close but not reliable enough. Usually the constraint is the rubric, not the volume of labels.
You might recognize this
- Benchmarks look fine but users keep hitting the same failure
- Annotators disagree and nobody can say who is right
- General labeling misses errors only a specialist would catch
What the work looks like
- A rubric two qualified people apply the same way
- Panels matched to the domain, screened on a calibration set
- Data delivered with agreement metrics and the disagreement cases
Add AI to Your Business
Identify and implement practical AI capabilities. That starts with being clear about which use cases are worth it — and which are better solved with ordinary software.
You might recognize this
- There is pressure to adopt AI without a defined use case
- A promising prototype is not reliable enough to ship
- You need to understand cost, accuracy, and risk before committing
What the work looks like
- Use-case assessment with expected effort and value
- Production implementation with evaluation and guardrails
- Monitoring so quality is measured, not assumed
Extend Your Engineering Team
Add experienced technical professionals when additional capacity is needed — working in your tooling, your process, and under their own names and qualifications.
You might recognize this
- Hiring timelines do not match the roadmap
- A project needs a specialist skill for a defined period
- Maintenance work is consuming your product team
What the work looks like
- Engineers matched to the actual technical requirements
- Participation in your standups, reviews, and planning
- Capacity that scales up or down as the work changes
Not sure which fits
Most problems do not arrive neatly labeled.
If your situation sits between two of these — or looks like none of them — describe it in plain language and we will work out the right shape of engagement with you.
Get started
Tell us what is actually blocking you.
A short description of the problem is enough to start. We will come back with the approach we would take and what it would involve.