AI / ML Solutions
We add AI where it earns its place: assistants grounded in your data, automations that remove manual work and models that improve decisions.
1export const aiMlSolutions = {2 title: "AI / ML Solutions",3 summary: "Practical AI features, from LLM assistants to predictive models, built into your product.",4 focus: [5 "LLM apps & RAG",6 "Workflow automation",7 "Predictive models",8 ],9 stack: ["Python", "PyTorch", "LangChain", "pgvector"],10 outcome: "Weeks · From idea to working pilot",11};12
What's included
Practical AI features, from LLM assistants to predictive models, built into your product.
LLM assistants
Chat and copilots grounded in your documents with retrieval (RAG).
Automation
Document processing, classification and data extraction pipelines.
Predictive models
Forecasting, scoring and recommendation models.
Evaluation & safety
Test sets, guardrails and monitoring for AI features.
Proven tools, chosen for your problem
We recommend a stack after discovery, based on your team, budget and scale. These are the tools we reach for most often.
- Python
- PyTorch
- LangChain
- pgvector
- OpenAI
- Anthropic
- FastAPI
- MLflow
Recent projects
Nexus Institutional Trading Platform
Nexus CapitalA high-frequency trading dashboard delivering real-time analytics and execution for institutional investors.
Aegis Zero-Trust Identity Provider
Aegis Security SolutionsA complete zero-trust authentication protocol implementation with biometric fallbacks and adaptive risk scoring.
OmniStore Cross-Platform App
Omni Retail GroupA unified shopping experience bringing in-store AR navigation and personalised e-commerce into a single mobile application.
How we'll work together
- 01
Discover
1–2 weeksWorkshops with your team to understand users, goals and constraints. You get a scoped plan, timeline and fixed estimate.
- 02
Design
2–4 weeksFlows, wireframes and a clickable prototype tested with real users before development starts.
- 03
Build
Two-week sprintsWorking software every sprint, with demos, a shared board and automated tests on every change.
- 04
Launch & scale
OngoingSecurity review, performance tuning and a monitored launch, then support and new features as you grow.
Common questions
Everything from greenfield MVPs to scaling and securing established platforms — web apps, mobile apps, cloud infrastructure, and AI features. If it involves shipping quality software, we can help.
With a free 30-minute call to understand your goals. If there is a fit, we run a short discovery phase and give you a written scope, timeline and fixed estimate before any development begins.
Yes. Many clients come to us only for VAPT. We test web apps, APIs, mobile apps and cloud setups, deliver a prioritised report and retest your fixes at no extra cost.
Fixed price for well-defined scopes, and monthly retainers or time-and-materials for ongoing product work. Every proposal shows exactly what is included, so there are no surprise invoices.
Yes. Once invoices are paid, all source code, designs and documentation belong to you. We work in your repositories from day one, so you always have full access.
Let's scope your AI / ML Solutions project
Tell us what you are building. You will hear back from a senior engineer within one business day, not a sales script.