Secure and efficient Qdrant deployment on Azure

Avoid quick hacks—build scalable, secure AI systems from the start.

AI projects aren’t one-time deliveries — they need continuous improvement to stay relevant and drive ROI.

Softlandia transformed Kuullas’ platform into an AI-powered matchmaking engine for employee mental coaching.

Softlandia built an AI engine for Amplify to surface insights, compare initiatives, and guide smarter decisions.

Softlandia helped HappySignals shape a clear AI-native roadmap to become the leading ITXM platform powered by AI.

Softlandia helped Zoined turn AI ambition into an agentic analytics engine that lets customers chat with real-time data.

Co-creating future-ready innovations through close collaboration and rapid iteration

Helping a media organization turn AI capabilities into strategic advantage

Softlandia delivered an applied AI solution to enhance a SaaS solution with AI features

How to combine data, prompts, and modern tooling to build effective NLP services

What modern AI development demands from engineers in a foundation-model world

Essential frameworks and patterns for turning LLMs into reliable applications

Lessons from MEGABYTE and TinyStories on training capable models with limited resources

Navigating privacy in enterprise AI systems

How businesses can turn AI complexity into practical advantage with the right expertise

Field-tested insights on building reliable, scalable LLM-powered services

Hands-on lessons from building a real-time AI-powered Slackbot with streaming and RAG

Glimpse into AI on live television

AI enhances your team by freeing time for creativity, strategy, and truly human work

Drive innovation through open collaboration

Building AI systems that scale and perform

How AI-powered data extraction cut manual work by half

Why most AI initiatives stall and how technical leaders can reduce risk before it’s too late

Lessons from thousands of real-world projects on what breaks, what scales, and what lasts

Softlandia's improvements elevated search accuracy, reliability, and performance to a new level.

AI success needs continuous improvement, not one-time delivery.

Softlandia Adds Dynamic Bearer Token Auth to Qdrant's Python Client

LLMs can be unreliable—evaluate systematically. Use LLM-as-a-judge and Promptfoo to boost AI reliability.

AI transcription turns speech into text for fast, detailed docs, voice insights, and multilingual content creation.

Leveraging machine learning to enhance user experience and product performance

LLMs struggle with tabular data like CRM, SQL, or Excel. See how agentic workflows tackle this challenge effectively.