Turn software products into intelligent products

We engineer intelligence into products — enabling them to understand context, assist users, make decisions, and take actions. Whether you're moving an AI pilot into production, adding intelligent capabilities to an existing product, or building a new one from the ground up, we design the technology, workflows, and user experience to work together in real-world use.

What this looks like in practice

/01
AI Features For Existing Products

Copilots, semantic search, document understanding, recommendations, and natural-language interfaces, built into the product your customers already use. We handle model selection, context design, safety guardrails, and the infrastructure that keeps every feature reliable and auditable.

/02
Agents Inside Your Product

Agents that complete real tasks for your users: preparing documents, resolving requests, and running multi-step actions across your platform. Every agent ships with evaluations, guardrails, and observability, so you know what it did and why.

/03
Rescue And Hardening Of AI Features

Many AI features work in the demo and fail in production with wrong answers, rising costs, slow responses, unmeasured quality. We diagnose what's breaking, re-engineer the weak parts, and add monitoring so it stays fixed.

/04
New Intelligent Products

Web, mobile, and platform products built with intelligence as part of the architecture, not bolted on later. We take you from first design to launch, integrated with the platforms, devices, and partners you rely on.

/05
Data Foundations For Product Intelligence

If your product needs to search, recommend, predict, or understand, the data has to be ready and trustworthy first. We engineer the retrieval infrastructure, embeddings, and data quality pipelines that every intelligent feature depends on.

Why Streamlogic for intelligent products

Production, not demos

Every feature ships with evaluations, monitoring, and a clear definition of "working".

Governed by design

Guardrails, audit trails, cost controls, and compliance built in from the first sprint.

 

Your stack, any model

Deployed in your cloud. We work with Anthropic, OpenAI, open-source, and self-hosted models.

Product and domain depth

Domain experts join feature design by default, so the feature fits how your customers actually work.

How We Deliver

1
Assess

Intelligent Systems Assessment. In 3 to 5 days we map where intelligence adds most value to your product, check feasibility and risk, and produce a prioritized roadmap.

2
Build

Short, structured sprints delivered with Brainflow™. Your team participates throughout. Every feature ships with tests, documentation, monitoring, and an audit trail.

3
Evolve

Post-launch monitoring, quality tracking, and new capabilities as your product grows. Available as a retainer or in engagement cycles.

FAQ

What is an intelligent product?

An intelligent product is software that uses AI to understand information, make decisions, or take action for its users, such as a copilot, an agent, semantic search, or automated document understanding. At Streamlogic, "intelligent" also means production-grade: the feature is evaluated, monitored, and governed.

Can you add AI features to our existing SaaS product?

Yes. This is our most common engagement. We review your product architecture and data, identify where AI features create the most value, and engineer them into your existing codebase and cloud environment. Most clients start with an Intelligent Systems Assessment to prioritize the opportunities.

Why do AI features fail after the pilot?

The usual causes are missing evaluations, unreliable data retrieval, no guardrails for edge cases, and costs nobody measured. A pilot proves the idea; production needs engineering around it. We add that engineering layer, or fix it if a feature is already live and struggling.

Which AI models do you work with?

We are model-agnostic. We work with Anthropic Claude, OpenAI, open-source, and self-hosted models, and choose based on quality, cost, latency, and data-privacy requirements.

Do you only build AI features, or full products too?

Both. We build complete web, mobile, and platform products, with intelligence designed into the architecture from the start.

What Our Clients Say

Before Streamlogic stepped in, our media pipeline was already efficient. Now it's exceptional. Their team embedded a system that adapts, learns, and scales with our production flow. What used to take hours now takes minutes. What used to slip through cracks now comes out polished. We've seen a measurable lift in both output volume and content quality.

Andrew Krupski, Client Testimonial
Andrew Krupski
Product Director, NT Technology (Lithuania)

As a design-led studio, our work lives in the details - textures, lighting, growth patterns. Before Streamlogic, visualizing complex botanical installations meant hours of manual prep and rendering. They built us an automation layer that feels almost magical: it pulls data from our planning tools and generates near-final visuals in a fraction of the time. We gained headspace. Now my team spends more time designing, less time chasing files. And for the level of quality they delivered, the investment was fair and smart.

Serge Prahodsky, client testimonial
Serge Prahodsky
CEO, April Studio (Poland)

In the legal field, precision, security, and responsiveness are the baseline. What impressed us most about the team at Streamlogic was their discipline, structure, and proactive style of work. 

Dmitri Dubograev Client
Dmitri Dubograev
CEO, Int'l Legal Counsels PC (USA)

Dedicated Team Insights

Events
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Streamlogic in Amsterdam: Vibe Coding vs AI-Driven Development at World Summit AI 2026
July 20, 2026
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Events
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Streamlogic in London: Vibe Coding vs AI-Driven Development at London Tech Week 2026
June 1, 2026
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Events
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Streamlogic in Dublin: From Vibe Coding to AI-Driven Development at Dublin Tech Week 2026
April 1, 2026
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Let's build the solution you need

Share what's slowing your team down. We'll take it from there.

Denis Avramenko, CTO at Streamlogic
Denis Avramenko
CTO, Co-Founder Streamlogic