Projects DeliveredVerified completed engagements
AI & SOFTWARE ENGINEERING
AI & software systems
built for ownership.
Custom AI, software, SaaS, and data platforms engineered for real-world operations and long-term ownership.
COMPANY PROOF / VERIFIED DELIVERY
A growing delivery footprint, backed by evidence.
Delivery counts are derived from verified engagement records and the public case-study ledger. Client, review, and country figures are published only from approved evidence.
Public Case StudiesPublished engineering evidence
Client ReviewsPublished client feedback
Unique ClientsMapped canonical client records
Countries ServedVerified client locations
Repeat ClientsVerified repeat relationships
VERIFIED DELIVERY FOOTPRINT
Countries are shown only after client-location verification.
The map expands automatically as more completed engagements are linked to approved country records. Internal evidence references remain private.
AUAustraliaBDBangladeshCACanadaFRFranceDEGermanyINIndiaITItalyLBLebanonNGNigeriaZASouth AfricaGBUnited KingdomUSUnited States
LIVE EVIDENCE12 VERIFIED COUNTRIES
Verified client countryEvidence details remain internal
SELECTED WORK
Real systems. Real outcomes.
Selected engineering work across production AI, software, data, and automation systems.
Product Engineering
Event Orchestration SaaS Platform
OSYSTIC engineered a full-stack SaaS platform centered on event planning and operational coordination. The architecture combines a role-aware React frontend with a Supabase backend, serverless business workflows, and scheduled automation.
View case studyProduct Engineering
ES Futures NinjaTrader Strategy Engineering
A selective intraday ES futures trading strategy was engineered and evaluated through structured phases within NinjaTrader 8. The project combined risk-first architecture, time-zone and protected-news session controls, and a pre-registered robustness matrix to produce an honest evaluation without live deployment claims.
View case studyProduct Engineering
90-Minute Cycles TradingView Indicator Engineering Case Study
OSYSTIC engineered a custom TradingView indicator overlay that accurately reproduces a reference-driven multi-timeframe market-structure workflow. The delivered solution handles progressive live-cycle rendering, explicit New York calendar periods, and rigorous visual hierarchy without exposing proprietary source code.
View case studyWHAT WE DO
Our Capabilities
End-to-end engineering capabilities to design, build, and deploy production-ready AI and software systems.
HOW WE WORK
Engineering delivery with explicit checkpoints.
Scope, technical decisions, acceptance criteria, and ownership remain visible throughout the engagement.
01
Discover & Define
Clarify objectives, constraints, risks, and acceptance criteria.
02
Architect & Plan
Define system boundaries, delivery stages, and review points.
03
Build
Ship working increments with visible decisions and feedback.
04
Validate
Test behavior, edge cases, security, and operational readiness.
05
Release
Move through UAT and production approval with explicit state.
06
Handover
Transfer source, context, access, and operational ownership.
CLIENT FEEDBACK
View all client feedback Trusted to deliver when the work gets complex.
Published client feedback across engineering, automation, and production delivery.
“OSYSTIC is one of our favorite teams that we have worked with on the platform. Extremely good work delivered quickly. Five stars across the board.”
MatthewUnreal Engine / C++ · United States
Native Unreal Mechanical Simulation & Section RenderingProject-linked client feedbackRelated case study
“The quality of the work was great, and I really appreciated the attitude and the way OSYSTIC takes responsibility for the work. It is a great feeling to know that I can trust the team and leave the work in their hands without worrying.”
Md. Razaul.NET Automation · Bangladesh
Multi-LDPlayer Automation Control CenterProject-linked client feedbackRelated case study
“OSYSTIC truly is outstanding at what they do. The work was absolutely amazing. OSYSTIC coded a complex Pine Script solution for me. Every review comment and every idea I had was welcomed and implemented with perfection. I could not have asked for anything better, and it was delivered in a super fast time. If you are unsure who to choose for your project, look no further. If I have any other projects in the future, I'm coming straight back to OSYSTIC. Thanks again for an amazing job.”
ScottTradingView / Pine Script · United Kingdom
90-Minute Cycles TradingView Indicator Engineering Case StudyProject-linked client feedbackRelated case study
INDUSTRY EXPERTISE
Industries We Serve
Selected sectors where AI, software, and operational complexity create meaningful engineering opportunities.
01HealthcareClinical AI, diagnostics, and secure health systems.02Banking & FinanceFraud, risk, compliance, and financial intelligence.03ManufacturingQuality, predictive maintenance, and production intelligence.04Retail & E-CommercePersonalisation, inventory, and customer intelligence.05Energy & UtilitiesGrid intelligence, edge AI, and critical infrastructure.06Automotive & MobilityConnected mobility, ADAS, and software-defined platforms.
TECHNOLOGY ECOSYSTEM
Built with leading platforms and tools.
MicrosoftawsGoogle CloudNVIDIAVerceldocker
INSIGHTS / BLOGS
Technical perspective without the noise.
Platform Engineering for Small Product Teams: What to Automate First
A minimum-viable platform engineering guide for small product teams covering golden paths, CI/CD, infrastructure as code, observability, access, self-service, and developer experience.
Read insightCloud vs Private vs Hybrid AI Deployment: How to Choose
A practical architecture framework for choosing public cloud, private/on-premises, or hybrid AI deployment based on data residency, latency, connectivity, operations, portability, and cost.
Read insightData Engineering Foundations for Production AI
A production guide to the data pipelines behind AI systems: authoritative sources, freshness, correctness, completeness, lineage, permissions, quality gates, replay, and RAG index lifecycle.
Read insightReady to build what’s next?
Let’s discuss your project and explore how we can help you achieve your goals with AI and modern software engineering.