Intelligent software,
built with you.
Synthos is a Metro Manila software studio helping organizations work smarter — through AI integration and production-grade software, delivered by a lean, senior team with no handoffs.
Start with an assessmentWho We Are
About Synthos
Synthos is a software studio based in Metro Manila. We build AI-integrated software and provide technology consultancy that helps organizations work smarter, automate their routines, and leverage their existing data. We pair current AI and data-science practices with solid engineering fundamentals to deliver software that is robust and impactful.
We are deliberately lean and senior. Every engagement is handled directly by experienced leads who design and build the software — no handoffs or junior teams learning on your budget. That structure lets us move quickly, stay close to our clients, and adapt as priorities change.
Agility
Short, iterative cycles that adapt quickly, so you see progress early and often.
Collaboration
An extension of your team, communicating and collaborating at every step.
Craftsmanship
Clean, well-tested, maintainable software that holds up over time.
Transparency
Clear scope, honest timelines, and straightforward communication.
How We Work
Our approach.
Our process starts with an AI Opportunity Assessment: a short, fixed-scope engagement where we map a target operation, find where AI can help, and give you a prioritized roadmap. From there we build and support what we deploy.
AI Opportunity Assessment
A structured review of one operation and a prioritized list of AI opportunities.
Proof of Concept & Pilots
A working demonstration built on one real use case.
Implementation & Integration
Production-grade systems built to fit your existing tools and data.
Advisory & Ongoing Support
Guidance and model maintenance after go-live.
Our Work
Selected engagements.
11,600+
enterprise IT tickets analyzed
PC Tech Inc.
We analyzed more than 11,600 enterprise IT support tickets and designed an AI assistant to resolve routine Level-1 employee requests — file backup, common hardware issues, and account access — without human intervention. The result: technical staff freed for higher-value work, and a clear roadmap for autonomous IT support at scale.
The Team
Two specialists. No juniors handed your project.
Peter Onglao
Co-Founder, Artificial Intelligence & Data Science
Peter is a senior data scientist and machine-learning engineer with seven years of applied industry experience across remote patient monitoring, healthcare, and banking industries. He holds an AI-specialized M.S. in Computer Science from the Georgia Institute of Technology, is a published healthcare-AI researcher, and has led analytics initiatives and mentored data teams.
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As lead developer of a patient-deterioration model that flags clinical decline at 80% sensitivity, and previously a senior data scientist at Optum Labs (UnitedHealth Group), he has built, deployed, and maintained production AI on AWS, GCP, and Databricks across the full ML lifecycle, from pipelines processing billions of vital signs to live LLM and transformer models.
Cyan Erick Pascual
Co-Founder, Engineering
Cy is a senior full-stack software engineer with more than five years of experience shipping secure, production-grade systems, using an AI-augmented workflow for rapid, cost-efficient delivery. He has engineered audited financial infrastructure handling hundreds of thousands in live value—including an automated yield aggregator securing $259,000 in time-locked corporate assets and an end-to-end crowdfunding launchpad processing $28,500+ in transaction volume. His work on transactional settlement systems and secure non-custodial custody layers has successfully scaled startup platforms through a $6.1M seed funding round.
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Working seamlessly across fintech, e-commerce marketplaces, and emerging-tech domains, Cy's engineering is built on an earlier grounding in data science and machine learning, including ML work at Thinking Machines Data Science, Cobena Business Analytics & Strategy, Inc, and GfK. He specializes in integrating AI and large-language-model workflows into real production software to drastically compress product delivery cycles without sacrificing architectural quality or security.
Contact
Build something intelligent with us.
For organizations deciding where to begin, we recommend a focused AI Opportunity Assessment scoped to a single department or workflow — a low-risk way to see concrete, prioritized opportunities before committing to a larger build.
Most engagements begin with a fixed-scope AI Opportunity Assessment — a bounded piece of work with a clear deliverable before any larger commitment.
Initial conversations are conducted over video call. We are based in Metro Manila, Philippines.
Prefer to reach out directly?
Peter Onglao — AI & Data Science
linkedin.com/in/peteronglaoCyan Erick Pascual — Engineering
linkedin.com/in/cbpas