AI solutions and LLM integration
We build language models into products and processes where they bring measurable value. We start with a data review and a prototype, model the cost and monitor answer quality after launch.
AI solutions
We bring AI in where it genuinely saves time or money: customer support, document processing, search across internal knowledge and analytics. We work with OpenAI and Anthropic Claude models as well as open models.
We start with an assessment: what data exists, what task we are solving, what each request will cost and what happens when the model gets it wrong. Often the best result comes not from the largest model but from well-prepared data and RAG over your documents.
In production we track answer quality, latency and cost, and keep a human in the loop where mistakes are expensive.
What we do
Strategy and assessment
Data readiness, buying an API versus building, cost modelling.
Chatbots and assistants
Customer support and internal assistants on your data with RAG.
Document processing
Extracting data from invoices, contracts and requests.
Recommendations and forecasts
Personal recommendations and predictive analytics.
Monitoring
Tracking cost, latency and answer quality, with human review where mistakes are costly.
Stack
From the first call to ongoing support
- STEP 1ConsultationGoals, constraints, timing
- STEP 2EstimateAudit, scope, budget
- STEP 3DesignArchitecture and prototype
- STEP 4BuildTwo-week sprints
- STEP 5TestingQA, security, load
- STEP 6ReleaseZero-downtime launch
- STEP 7SupportSLA and evolution
Time & Material
Pay for hours actually worked. Fits when requirements evolve.
Dedicated team
A team that works only on your product: developers, QA, PM.
Team extension
Softera engineers join your team and processes.
Support retainer
A fixed monthly block of hours for support and improvements.