Labs — Bespoke Builds

One squad. The whole build.

Labs is our end-to-end build practice. We form a squad around your product — the roles the work calls for — and carry it from brief through development to rollout, under one accountable roof, AI-native from day one.

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Greenfield builds

New products from zero — validated scope, shipped MVP, and a codebase your future team will thank you for.

Platform rebuilds

Legacy systems re-architected and migrated without stopping the business that runs on them.

AI product engineering

LLM applications, agents, and RAG systems — built by the same AI Engineering practice that anchors Squads.

What we take on.

Every Labs engagement is scoped from these — most builds combine several.
For enterprises
Custom software
Tailored enterprise-grade systems built around your specific operations and challenges.
Web & mobile apps
Powerful web and native mobile applications for your business and your customers.
Custom admin interfaces
Enterprise-grade back-office systems that make your operations team faster.
Data consolidation & insights
Data lakes and warehouses that unify your data — with realtime visibility on top.
Enterprise integration
Connect and unify the systems you already run for smoother operations.
Payment integration
Streamlined, secure payment flows wired into your product and back office.
Support & maintenance
Keep your systems secure, reliable, and up to date — long after launch.
Project rescue
Revive and complete struggling projects — stabilize, refocus, ship.
For startups
MVP development
Get to market fast with a functional, market-ready product.
Product commercialization
Turn your MVP into a scalable product real customers pay for.
Development process audit
Find and fix the inefficiencies in how your team ships.
Codebase audit
Make sure your foundation is clean, scalable, and ready to grow.
The Sageware Way

How we build.

Our development philosophy, unchanged since day one: the outcome is the point — and the fastest path there is simple technology and short feedback loops.

Read the Thesis
01
Software as a means to an end
We design for the outcome, then build the software that enables it.
02
Use boring technology
Proven, stable foundations — innovation spent where it differentiates: your product.
03
Simple is good
No unnecessary abstractions. When something can be done simply, it should be.
04
Short feedback cycles
Iterate fast, involve stakeholders early, course-correct before effort is wasted.

Close the loop early. Then polish.

Four phases, brief to production — front-loaded with immersion, closed out with rollout and support.
1
Immersion
We embed in your domain — users, workflows, systems, constraints. The brief becomes a validated scope and an architecture we'd stake the delivery date on.
2
Broad strokes
We close the loop early: an end-to-end working system in weeks, not a big-bang reveal. The whole product takes shape while there's still time to change course.
3
Polish & optimize
With the loop closed, effort goes to the fine details — performance, edge cases, and hardening, tuned by what real usage tells us.
4
Rollout & support
Launch, rollout, and steady-state support — monitoring, fixes, and improvements, with documentation and handover built into the build.

Every phase runs the same AI-native workflow as the rest of Sageware — AI-assisted build, review, testing, and documentation, with human review gates. It's how one squad covers this much ground in six months.

Outcomes, not hours.

Dev agencies
Freelancers
Sageware Labs
What's sold
Billable hours — and change orders when scope shifts.
Individual effort; you assemble the rest.
An outcome: brief to production, one accountable team.
Who runs the build
Account managers between you and the builders.
You — PM, architect, and QA all at once.
A dedicated squad that runs its own delivery, with weekly visibility.
AI workflow
Varies by team, rarely governed.
Whatever the individual prefers.
AI-native as standard — governed, reviewed, documented.
When things change
A change order and a new invoice.
Renegotiation — or silence.
Expected — the loop closes early, so course corrections are cheap.
After launch
The team dissolves to the next account.
One person, if still available.
A care retainer — or the team embeds as a standing Squad.

Building in-house is great — when the team already exists. Labs ships the product while you hire for what comes after.

Pricing

Builds start at $75k

The $75k covers a six-month engagement, from immersion to rollout — a defined team, timeline, and price. Every engagement is scoped to deliver the most return on your investment. No open-ended meter, no hourly surprises.

Request a proposal
6 months
Immersion to rollout — one engagement, end to end.
100% yours
Code, designs, and infrastructure assigned to you, in repositories you control.
Zero handover
The team that built it can stay on — as a retainer or an embedded Squad.

Case studies

Healthcare — Multi-branch skincare clinic

Multi-branch clinic management

End-to-end clinic management software: patient records that follow the patient across branches for continuous care, point-of-sale integrated with the full product and service catalog, and real-time analytics showing the overall health of the business.

Solution designSoftware developmentData migration
Automotive — Vehicle leasing, global Japanese carmaker

Fleet management for vehicle leasing

A fleet management platform for the leasing arm of a globally recognized Japanese vehicle brand — client support management, maintenance scheduling and costing, and dealership management in one system.

Solution designSoftware development
Financial services — Lending

Modernizing a legacy lending system

Two decades of duct tape and workarounds, replaced with general-purpose lending software configured to how they actually operate. We extracted and migrated all data from the legacy system for a seamless cutover.

Solution designSoftware developmentData migration
Job marketplace — Recruitment

LayagOFW — jobs marketplace for OFWs

A jobs marketplace connecting OFW candidates with licensed overseas placement recruiters — built, launched, and operated by Sageware. Proof we ship our own products, not just clients'. layagofw.com

Product developmentAdmin toolingCommercialization
AI — Consumer app — Nutrition

Busolv — AI-powered food journal

Food journaling as easy as taking a photo — the AI does the analysis. Built and published by the same AI Engineering practice that ships client work.

Mobile app developmentAI engineeringApp publishing · Commercialization

Frequently asked

Who owns the IP? +−

You do. Code, designs, documentation, and infrastructure are yours — assigned in the contract, delivered in repositories you control from day one.

What does a build cost? +−

Builds start at $75k for a six-month engagement, from immersion to rollout. The proposal is scoped up front — team, timeline, and price — around the work that delivers the most return, feasible within that time frame.

What if scope changes mid-build? +−

It usually does — that's why we close the loop early. With a working end-to-end system in hand, re-scoping is a conversation about the plan, handled in writing, not a renegotiation of the relationship.

How involved do I need to be? +−

Month one is the heavy lift — immersion works best with access to your domain experts. From there, weekly checkpoints and async updates; you see the working system throughout, not at the reveal.

What happens after launch? +−

Your choice: a care retainer for monitoring, fixes, and improvements — or the build team converts into a standing Squad embedded with you. Either way, documentation and handover are part of the build, not an add-on.

What stack will you build with? +−

Boring, proven technology — chosen for your team's ability to run and hire for it, not for our résumés. Innovation gets spent where it differentiates: your product.

Have a build in mind?

Bring us the brief — we'll come back with a scoped plan, a squad, and a delivery date in writing.

Start a project →