top of page

Bridging AI and Investment Banking 

Explore how AI can transform your work flow with Smalt AI

VISION

Our vision is to transform the way companies work by making AI accessible, practical, and impactful across every business operation.

​We leverage our core strengths to ensure AI is no longer a black box for businesses. Our mission is to guide companies through the uncertainties of AI adoption and unlock tangible value

Business Plan

SERVICES

We deliver solutions and services that drive results.

AI-Powered Solution for Investment Bankers

Let automation handle the modelling and due diligence, while you focus on scaling and value creation.

Meeting
Meeting Between Colleagues

Accurate, Grounded Research Across All Your Data

Powered by real-time source validation, our AI delivers financial and due diligence outputs you can trust.

Let AI handle the heavy lifting

​We accelerate your financial modelling and due diligence — delivering fully editable Excel outputs designed exactly the way analysts need them.

Business Meeting
Team Meeting

WHY SMALT AI

A different approach of AI automation

At Smalt AI, we take a different approach to AI— every member is also a developer. Unlike traditional firms where business and technical knowledge come from separate teams, our people combine both skill sets in one. This means you work with experts who not only understand your business challenges but can also design, build, and implement AI solutions directly.

INDUSTRY

Our
Partners

We harness the strengths of our trusted partners and integrate them seamlessly to deliver the most effective AI solutions for your company.

alibaba_bw.webp

Alibaba Cloud

infobip_bw.png

Infobip

google-symbol-logo-black-and-white-vector-46334843_edited.jpg

Google Cloud

b2metric

CAREERS

We’re looking for innovative talent to join our team. See all positions and submit your CV.

AI Solution Engineer

Remote

Responsible for designing, developing, and implementing AI-powered systems. They bridge technical expertise with business needs by building scalable models, integrating APIs, and ensuring deployment readiness. They work closely with data teams and software engineers to translate algorithms into production-ready solutions.

bottom of page