We engineer software products from architecture to production. New builds, feature development, legacy modernisation, and everything in between. Delivered with Brainflow at twice the throughput of conventional engineering.
For teams building new products: verified approaches and tech allow to build your app and features almost twice faster and less expensive. We can build a blend of mobile, web and deep tech experience - seamlessly integrated with necessary platforms, devices and partners of choice.
Adding capabilities that require model integration: document understanding, recommendations, predictions, natural language interfaces, automated decisions. We handle the full stack: model selection, prompt engineering, context management, safety guardrails, and the production infrastructure that makes it reliable and auditable.
Your system was built some time ago and lacks modern capabilities, performance and people who are ready to maintain it. We modernise incrementally while keeping production running.
Throughput advantage: more engineering output per sprint, with structural quality enforced at every step.
FinOps, audit trails, guardrails, compliance infrastructure from day one.
Subject matter experts are integrated into the process of feature engineering by default.
Everything deploys inside your cloud environment.
Product Opportunity Assessment — two-week sprint producing a prioritized roadmap with architecture assessment, feasibility analysis, and effort estimates.
Structured sprints powered by Brainflow. Your team participates throughout — this is your product. Every feature ships with tests, documentation, monitoring, and a governed audit trail.
Post-launch monitoring, performance tracking, and continuous capability extension. Available as a retainer or structured engagement cycles.
Product engineering is the end-to-end process of building, modernizing, and evolving software products — from architecture and design through development, testing, deployment, and continuous improvement. At Streamlogic, we combine traditional software engineering with intelligent capabilities: governed model integration, domain-specific automation, and data-driven features that help software products continuously evolve.
Outsourcing provides additional developers. Product engineering provides engineering outcomes — working software with intelligent features, governed infrastructure, and production-grade quality. Our teams operate through BrainFlow, which enforces architectural consistency and quality at every step, rather than relying on manual code review alone.
We are technology-agnostic and choose the right stack for each project. We work across major cloud platforms (AWS, Azure, GCP), multiple programming languages and frameworks, and integrate models from any provider — including Anthropic Claude, OpenAI, open-source, and self-hosted models. BrainFlow orchestrates across all of them.
Yes. This is one of our most common engagement types. We audit your existing product architecture, identify where intelligent features create the most value, and engineer them into production with the governance and infrastructure your industry requires. We typically start with a Product Opportunity Assessment to map and prioritize the opportunities.
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.
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.
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.