Ship revenue-critical software with a team that owns the outcome after launch.
MayaLogic helps ambitious teams build MVPs, modernize legacy platforms, put AI into production, and scale cloud systems without adding delivery theatre.
Trusted by product, engineering, and data leaders across 4 continents.
Products shipped
Incl. 3 fintech platforms processing >$1B annually
Engineers and designers
9+ yrs avg experience, 0% junior shadow teams
Industries served
SOC 2 Type II, ISO 27001, GDPR compliant delivery
Client retention
18-month avg engagement, most extend beyond Y1
Trusted by teams building in regulated, high-scale, and high-growth markets
- Northwind
- Helix Health
- Cargoflow
- Vantage
- Meridian
- Atlas Public
Cloud partners & compliance
Built for teams with something real on the line.
Most of our work falls into four shapes. Find the one closest to your situation — the engagement is built around your constraint, not a fixed playbook.
Funded startups building an MVP
You need a revenue-ready first slice shipped fast — without accumulating throwaway code you pay for later.
Enterprises modernising legacy systems
You are de-risking a critical platform and need migration without a big-bang rewrite or a frozen roadmap.
Product teams adding AI
You have promising prototypes and need them turned into governed, monitored capabilities users can trust.
CTOs reducing platform risk
You want reliability, security, and cloud economics under control before they become a board-level problem.
Credibility you can put in front of a board.
Senior teams, measurable delivery, and engagements that last. The detail behind the positioning — not just adjectives.
From a focused first slice to multi-year platform programmes.
Most clients keep the team well beyond the first launch.
Working software in front of users early, not months in.
Measured across fixed-scope and embedded engagements.
When the work is too important for another generic dev shop.
We step in where product ambition, operational risk, and engineering complexity meet. The goal is not more output — it is software that changes the numbers your leadership team already watches.
Talk through your problem with an engineerRoadmaps blocked by fragile systems
Modernise without a risky big-bang rewrite, using slices that reduce operational risk every quarter.
AI demos that never reach production
Move from prototype to governed product with retrieval, evaluation, observability, and human review loops.
Cloud and platform spend climbing faster than revenue
Rework architecture, delivery pipelines, and FinOps controls so reliability and cost move together.
Internal teams stretched beyond capacity
Embed senior engineers who can lead discovery, write production code, and raise delivery quality immediately.
Start with the outcome you need next.
Different starting points need different team shapes. Pick the path closest to your current constraint and we will shape the engagement around it.
Featured case study
Series C consumer lender · FinTech
Replatforming a Series C lending core without a single missed disbursement
Strangled a ten-year-old PHP monolith and migrated 1.2M live loans onto an event-driven core, with zero downtime and a 60% drop in P95 latency.
- P95 latency
- −62%
- Disbursements lost
- 0
- Cutover window
- 9 months
Capabilities grouped by the result you are trying to create.
We assemble product, design, AI, data, platform, and security specialists around the business outcome — not around a static capability menu.
Launch and grow a digital product
Shape, design, build, and iterate web, mobile, and SaaS products that users keep using.
Put intelligence into operations
Use AI, data, and automation to improve decisions while keeping governance visible.
Scale safely and reduce technology drag
Modernise platforms, secure delivery, and make cloud infrastructure easier to operate.
A visible delivery system from first conversation to production.
The same rhythm works whether we are validating an MVP, adding AI to a live workflow, or retiring a 15-year-old platform.
Discovery
Risks, constraints, and the first valuable slice
Architecture
System shape, trade-offs, and measurable success criteria
Delivery
Weekly working software, not status theatre
Launch
Security, performance, accessibility, and operational handover
Step
Discovery & scoping
One to two weeks. We map the outcome, constraints, risks, and the smallest first slice that proves the path.
Step
Architecture & plan
A short decision record covers the system shape, delivery plan, team, and what success looks like by week.
Step
Build in slices
Weekly demos of working software. Continuous deployment to a staging environment from day one.
Step
Harden & launch
Performance, security, accessibility, and observability passes. Go-live runbooks and on-call handover.
Step
Operate & evolve
Many clients keep us on for long-term operations, optimization, and new initiatives.
Lower risk. Faster time-to-value. Measurable outcomes.
We are a small enough firm to care, large enough to deliver across disciplines. Every engagement is staffed with engineers who ship production code — not presentations.
De-risk your delivery
Weekly working software against measurable outcomes. If something slips, you see it in days — not quarters.
Production-grade from day one
CI, observability, and security baked in — not bolted on after launch.
Protect your runway
Fixed-price milestones and weekly burn reports. You always know what you are spending against which outcome.
You own everything
Code, cloud accounts, IP, and documentation — yours from the first commit.
MayaLogic vs a traditional dev shop vs staff augmentation.
Three common ways to add engineering capacity — and where each one tends to help or hurt when the work is genuinely important.
MayaLogic
Traditional dev shop
Staff augmentation
Seniority
Accountability
Ramp-up
Quality bar
IP & ownership
Pragmatic tools, chosen per problem.
What it’s like to work with us.
“They behaved like a partner who had skin in the game. We shipped the rebuild in nine months and our P95 latency dropped by more than half — with zero missed disbursements through the cutover.”
“The discovery phase alone paid for the engagement. They identified two architectural decisions that would have cost us a year to undo.”
“They embedded with our team without ego. By month three, you could not tell who was a MayaLogic engineer and who was ours.”
“Senior people who write production code and own the outcome. The weekly demos kept everyone honest and the roadmap moving.”
Field notes from the engineering room.
Practical writing on the decisions that actually move a build — architecture, AI in production, cloud economics, and the trade-offs in between.
Start with a smaller step.
Low-commitment ways to get senior engineering input before you commit to a project — useful whether you are scoping, de-risking, or just exploring.
Discovery call
A 30-minute call with a senior engineer to pressure-test your idea or plan.
Free · 30 minArchitecture review
A second opinion on your system design, scaling plan, or migration path.
Senior-ledAI readiness audit
Where AI realistically adds value in your operations — and where it does not.
Practical, not hypeModernization checklist
The questions we ask before recommending a rewrite, refactor, or rebuild.
Request a copyLet’s build
Ready to make the next software bet lower-risk?
Tell us what you are trying to ship, who it is for, and where you are stuck. You will hear back from a senior engineer within one business day.
- Products shipped
- 120+
- Client retention
- 98%
- Response time
- 1 day