Data-driven insights and AI-powered solutions that optimize decision-making and drive business growth. At Solvstrat, we believe that data is the key to unlocking your business's full potential. Our data and AI/ML solutions are designed to help you harness the power of your data, extract actionable insights, and make informed decisions that drive growth and innovation.
Prototype-first. We build a working prototype of the core flow in weeks, so you validate the real system before committing to full build — and you own the code.
AI development is the process of designing, building and deploying machine-learning models and AI-powered features inside real software — from computer vision and predictive scoring to automation and copilots. It covers the data, model selection, evaluation, integration and infrastructure needed to run inference reliably in production. Solvstrat builds AI that ships inside working products, not standalone demos.
Evaluating historical datasets, ingestion pipelines, database schemas, unstructured data stores, and data governance standards to establish a robust baseline for machine learning models.
Detection and verification models that read images and documents in real time.
See deepfake detectionEvent-driven models that score behaviour and transactions as they happen.
See the KYC/KYB platformAutomate classification, extraction and routing inside your operations.
See all servicesDomain assistants and copilots embedded directly in your product.
Custom software developmentForecasting and scoring that feed decisions, not just dashboards.
Data & analyticsPipelines, monitoring and scaling so models stay reliable in production.
Cloud architectureLeverage insights to optimize operations and drive growth.
Implement advanced AI & analytics to stay ahead of the market.
Transform raw data into clear, meaningful business insights.
Streamline processes and boost efficiency with intelligent workflows.

Sub-second predictive insights, automated decision intelligence, and a sustainable competitive moat.
Discover hidden patterns, trends, and correlations in your data to understand your customers, operations, and market dynamics better.
Identify areas for improvement in your operations, streamline workflows, and automate tasks to increase efficiency and productivity.
Make informed decisions based on data-driven insights, reducing risks and maximizing opportunities.
Leverage AI/ML technologies to create new products, predict future trends, and gain a competitive edge.
Use data and AI/ML to personalize customer experiences, improve engagement, and increase loyalty.
We remove the black-box risk with explainable AI (XAI), verified POC validations, and zero data leakage standards.
We offer transparent pricing and flexible options to ensure maximum ROI.
Our agile sprints keep projects on schedule with milestones and frequent updates.
We simplify the process with clear stages, regular check-ins, and dedicated support.
Post-launch, we offer proactive support and ongoing upgrades.
A sample of production AI we have designed, built and run.
One governed entry point for model access, policy and cost.
Read case studySynthetic-media defences running inside live onboarding.
Read case studyReal-time synthetic-fraud prevention at high throughput.
Read case study15+ verification sources aggregated with sub-second risk scoring.
Read case studyTransparent, milestone-based pricing. You own the code, the data and the IP.
A defined deliverable with milestone-based pricing — best when the scope is clear.
Continuous agile delivery with bi-weekly demos — best for evolving products.
Architecture, security and roadmap ownership without a full-time hire.
It is the process of designing, building and deploying machine-learning models and AI features inside real software — including the data, model choice, evaluation, integration and infrastructure needed to run them reliably in production.
Computer vision and document forensics, real-time risk scoring, predictive analytics, intelligent workflow automation, and LLM or copilot features embedded in your product.
Both, chosen per problem. We use proven foundation and open models where they fit, and train or fine-tune custom models where accuracy, latency or data sensitivity demand it.
Yes. We integrate models into your current stack through APIs and services, with monitoring and fallbacks so AI features degrade gracefully rather than break.
We evaluate models against real data, monitor drift and performance in production, keep humans in the loop for high-stakes decisions, and engineer data handling to your compliance requirements.
Practical guides to governing and shipping AI in production.
SEE THE PROTOTYPE WE'D BUILD
Tell us where the work slows you down. We'll come back with a prototype of the custom software, internal tools or automation we'd build to remove it — working in weeks, and you own the code.