AI Engine
2 min read
Dobbin
Dobbin: Softlandia helped build a scalable AI business, resolving architecture debates and accelerating product speed.
Applied AI
Where consulting ends and AI engineering begins.
We architect AI systems that work in production. Built from first principles, designed to scale, and made to evolve with your business.
APPLIED AI
What is Applied AI?
Applied AI is the engineering work of integrating AI into products. Building the systems, infrastructure, and safeguards that turn a smart model into something people can actually rely on.
Models like ChatGPT and Claude made it possible for any company to start using AI. But access isn't the hard part anymore. Architecture is. You can't just plug a model into your product and expect it to work. Someone still has to design and build the systems around it. Applied AI ensures your product:
Has the right architecture and tools
Works reliably with real users and real data
An Infrastructure that scales when your business grows
Stays secure, evaluated, and has proper guardrails
Keeps working as the model underneath evolve
AT SOFTLANDIA
We Build
We build from first principles - every system designed for clarity, scalability, and long-term impact.
AI Agents & Agentic Workflows
Autonomous systems that handle multi-step tasks without hand-holding.
Instead of users clicking through five screens, an agent does the work. It reasons through the steps, calls the right APIs, uses tools, and gets to the result. We build agents that are actually reliable, with guardrails, evaluation, and the kind of error handling that lets you sleep at night.
For a technical deep dive, check this blog: AI Agents for Tabular Data Processing
Search & Retrieval (RAG), Knowledge Bases and LLM Wikis
RAG (Retrieval-Augmented Generation)
AI that answers questions using your actual data instead of guessing. We build the retrieval pipeline that finds the right documents, feeds them to the model, and makes sure the answers are grounded and accurate.
Knowledge Bases
A structured, maintained source of truth your whole company can rely on. We design the architecture for storing, updating, and serving company knowledge so it stays current and useful.
LLM Wikis
A living knowledge system that AI agents can query and reason over. Unlike static wikis, these update continuously and are built to be read by both people and machines. Learn more about LLM wikis.
Intelligent Document Processing
Automated extraction, classification, and analysis of unstructured documents.
Contracts, invoices, reports, forms. Every company has a pile of them. We build systems that read through the mess, pull out what matters, and structure it so your product or team can actually use it.
Computer Vision
Production-grade vision systems for real-world use.
Quality inspection on a production line. Document scanning. Visual search. Satellite imagery analysis. We build vision pipelines using foundation models or custom approaches.
For machine vision, read here our findings.
Real-Time Data Processing
Streaming pipelines that act on data as it arrives.
When waiting for a nightly batch job isn't good enough, you need streaming. Data comes in, gets processed, and triggers action, all in real time.
Technical deep dive example: Metaflow in Practice
Beyond The List
AI moves fast. New capabilities and use cases emerge all the time. We stay on top of what's happening, learn and evaluate new ways.
If your challenge isn't listed above, reach out. Chances are we've seen something like it or know how to approach it.
Building AI into a SaaS product? Check what we build for SaaS →
At softlandia
Applied AI in practice
With applied AI, we can solve more problems than fit on a page. Here's something we hear often.
You have a problem you think AI can solve but don't know how to approach it.
Building it in-house didn't work out the way you planned.
You need is engineers who actually build, not only consultants who deliver slides.
The prototype works, but it falls apart when scaling.
Your engineering team is strong, just not in AI.
The goal is a system your team can own, not a dependency on a vendor.
Case Studies
Applied AI Customer Success Stories
We work with ambitious teams to apply AI where it matters, driving new capabilities and measurable impact.
: Dobbin
AI Engine
1 min read
HappySignals
Softlandia helped HappySignals shape a clear AI-native roadmap to become the leading ITXM platform powered by AI.
AI Engine
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Amplify Now
Softlandia built an AI engine for Amplify to surface insights, compare initiatives, and guide smarter decisions.
What working with us looks like
Problem Definition
We start by understanding your challenge and defining where AI can make sense.
Roadmap
We look at your current stack, what you want to achieve, and the best approaches.
Depending on the maturity of your concept, this phase can kick off with a collaborative workshop or another format suited to your needs.
Proof of Concept
We build a working prototype.
The results tend to be eye-opening: what works, what doesn't, and what matters most. Ideas and priorities might change at this point before we start building the actual product.
Build
We architect and build your solution.
Based on all the base work. Short feedback loops, you are working straight with our engineers, no middle hands.
Delivery & Post
The finished solution is delivered and reviewed together.
We surface new ideas, and help you decide what comes next. No black boxes, no vendor lock-in.
Tools We Use
A snapshot of what we work with. The stack always depends on the project.
LLM Providers
OpenAI, Anthropic, open-source models (Llama and others)
AI Agents & Frameworks
PydanticAI, Vercel AI SDK, LlamaIndex,LangChain, Guardrails AI
Backend
Python, TypeScript, Rust,FastAPI, gRPC
Data & Streaming
Metaflow, Bytewax, Argo Workflows
Monitoring
Logfire, Datadog
Cloud & Infrastructure
Azure, Modal, Kubernetes
Softlandia
Applied AI built to last.
Talk to us about turning your AI vision into a system that actually ships.
Trusted by SaaS innovators who shape tomorrow
Blog
Our latest thinking
See what we are up to in the world of Applied AI
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