AI SYSTEMS & PRODUCT ENGINEERING · SINGAPORE / APAC
Polymath Productions designs and builds custom AI workflows, SaaS products and business applications for teams ready to scale operations—connecting the data, people and systems they already rely on.
Polymath Productions at reglerproductions.com is led by Paul Konstantin Regler and Yegar Sahaduta. Remote delivery for Singapore and APAC · Scope before build.
The opportunity is moving from trials to useful systems. Read the MOM study ↗
WHAT WE ENGINEER
Start with an operational problem. Choose the smallest system that can solve it, then extend it when the evidence supports the next step.
Build knowledge retrieval, document workflows, decision support and AI agents into business processes—with defined data boundaries and human review where judgement matters.
Turn a proven business need into a maintainable product: from architecture and first release through multi-user operations, APIs and product iteration.
Connect the tools already in use and remove repeat hand-offs across customer, sales and operations work—without selling a one-off bot as a business system.
Keep production systems useful after launch with ongoing evaluation, maintenance, cost review and a prioritised improvement backlog.
WHO WE WORK WITH
Best suited to established B2B teams, typically with 50–500 employees, a workflow owner, access to the systems involved and an outcome they can measure.
Knowledge work, client delivery, research and repeatable document processes.
Operational hand-offs, status visibility and data spread across partner systems.
Project coordination, document-heavy approvals and updates across teams.
Candidate, customer and sales workflows that depend on timely, consistent follow-up.
Financial services: Projects are considered where the scope, data handling and applicable controls can be agreed. No regulatory approval or grant eligibility is implied.
HOW DELIVERY WORKS
Map users, hand-offs, systems, data constraints and the result that would make a change worthwhile.
Set architecture, interfaces, controls, acceptance measures and what belongs in the first phase.
Build a bounded pilot against agreed inputs and outcomes. Review real cases before widening access or automation.
Release with operational ownership, monitoring and a practical plan for maintenance and further engineering.
PRODUCT ENGINEERING IN PRACTICE
These are Polymath products and engineering work—not client case studies or quantified outcome claims.
COMMERCIAL MODEL · SGD
Starting points are informed by published Singapore software project ranges and a bounded delivery scope. Final proposals follow requirements; software usage, hosting and third-party fees are itemised separately.
From S$8,000
Paid discovery to map a priority workflow, system boundaries, delivery risks and a costed pilot scope.
Typically a focused two-week engagement.From S$25,000
A bounded pilot for one real workflow, with agreed acceptance measures and a production recommendation.
One workflow; integrations and data access determine scope.From S$80,000
Production AI and software systems with the integrations, access controls, monitoring and operational handover in scope.
Phased delivery for multi-system work.From S$60,000
Product architecture and an initial release for a B2B SaaS platform, internal product or white-label application.
Roadmap and release boundaries set at discovery.From S$7,500 / month
Reserved engineering capacity for maintenance, monitoring, evaluation and a prioritised improvement backlog.
Monthly scope and capacity agreed in writing.Planning ranges are informed by publicly published Singapore software project guides and provider engagement models. They are not a quotation, guarantee of delivery time or comparison of like-for-like scopes. View published Singapore project cost ranges ↗
START WITH THE WORKFLOW
DECISION GUIDE
For a CTO or operations lead, the first decision is which workflow is worth changing and what evidence would make a pilot useful. The questions below shape scope before a build begins.
A retrieval-augmented generation (RAG) system searches approved source material and passes relevant passages to a model when a user asks a question. The design must define which documents are in scope, who can retrieve them, how changes are indexed, and how answers show their sources. A proof of value tests answer quality on representative questions and permission boundaries before wider rollout.
The integration plan begins with available APIs, data ownership, identity and vendor terms. A first release can read a bounded set of records, prepare a recommendation and leave a write action to an authorised person. Mapping, duplicate handling, retries and exceptions are part of the workflow, not assumed away.
High-impact actions can stop at a review queue. A named owner checks the proposed change against its source data, approves or rejects it, and the system records the outcome. Which actions need review, and when an action may run automatically, are agreed with the client for the specific process.
Operational ownership includes monitoring failures, checking answer or workflow quality against agreed examples, reviewing model and hosting cost, and maintaining integrations when upstream systems change. Managed AI engineering is a separately scoped monthly engagement; it does not replace the initial production build.
Illustrative workflow: an incoming document is matched to an existing CRM record, key fields are extracted for review, an authorised teammate approves the update, and exceptions remain visible in a queue. This is a scope example, not a claim about a delivered client system.
FREQUENTLY ASKED QUESTIONS
Polymath Productions is an AI systems and product engineering partner. It designs and builds custom AI workflows, SaaS products, internal software, business applications and integrations for operational teams.
Yes. Singapore is the primary target market for this engineering offer, with remote project delivery available across Singapore and APAC. This page makes no claim of a Singapore office or local accreditation.
Yes, where the systems expose suitable interfaces and the data, access and vendor terms support the intended use. The integration path and any human approval steps are scoped before implementation.
Current starting points are S$8,000 for an architecture sprint, S$25,000 for a focused proof of value, S$60,000 for SaaS product engineering, S$80,000 for production systems, and S$7,500 per month for managed AI engineering. Scope, integration depth and operating requirements determine a written proposal.
We define data access, retention, model use, evaluation and failure handling for the specific system. The client’s legal, security and regulatory requirements must be reviewed for the project; no blanket compliance certification is implied.
A proof of value tests one bounded workflow against agreed acceptance measures. A production system adds the access, integration, monitoring, exception handling and operational handover required for day-to-day use. The exact boundary is set in a written scope.
Paul Konstantin Regler leads the company and works with co-founder and Head of Engineering Yegar Sahaduta on technical planning and delivery. Ongoing maintenance is scoped separately as managed engineering where needed.
Polymath Productions is the company name used on reglerproductions.com. Paul Konstantin Regler is identified on the site as its founder and lead developer.
OTHER MARKET CONTEXTS
Read the market-specific buying questions before deciding on a project. Singapore starting prices on this page are stated in SGD and are not local quotations for other markets.