AI feature integration
Adding LLM-powered features to existing products requires careful architecture decisions around latency, cost, and reliability that most product teams are still learning.
ARCHITECTURE INPUT
INDUSTRY / TECHNOLOGYOPERATING CONTEXT
AI and engineering for software products and platforms.
OSYSTIC builds AI features, developer tooling, and platform infrastructure for software companies — from LLM-powered product features to data pipelines and SaaS architecture.
TechnologyCONTEXT MODEL
04CLOUD / RUNTIMEDEPLOY · OBSERVE
03DATA PLATFORMEVENTS · MODELS
02APIs / SERVICESCONTRACTS · LOGIC
01PRODUCT + AIEXPERIENCE · AGENTS
PLATFORM STATEOPERABLE / OWNED
PRODUCTAPISDATARUNTIME
CONSTRAINT MAP
What changes in technology.
Technology companies have the highest AI literacy and the most demanding engineering standards. We work as an extension of product and engineering teams, with delivery responsibility, reviewable engineering outputs, and clear project ownership.
Data pipeline reliability
Software products generate event streams and usage data that are valuable but often poorly ingested and modelled — limiting the product intelligence teams can build.
ARCHITECTURE INPUT
Scaling infrastructure
Growth-stage software companies frequently hit infrastructure ceilings. Cloud architecture decisions made early have long-term cost and reliability consequences.
ARCHITECTURE INPUT
SYSTEM PATTERNS
Engineering around the workflow.
These are capability patterns, not guaranteed outcomes. Exact design depends on the client’s data, infrastructure, risk profile, and validation requirements.
01
LLM-powered product features
Design and implementation of AI features — search, summarisation, generation, and classification — integrated into your existing product stack.
02
Developer tooling
AI-assisted code review, documentation generation, and test writing tools built for engineering teams.
03
Data infrastructure
Event pipelines, warehouses, and feature stores that give product and data teams reliable access to the data they need.
04
SaaS architecture
Multi-tenant architecture, authentication, billing integration, and API design for B2B software products.
05
Platform engineering
Cloud infrastructure, CI/CD, observability, and developer-experience improvements designed to make delivery more repeatable and operationally visible.
OSYSTIC / PROJECT CHANNELOPEN
START A PROJECT
Building for technology?
Bring the real workflow, data boundary, infrastructure, and risk constraints. We will map the engineering path around them.