MayaLogic
Senior product, AI, and platform engineering

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 theater.

Trusted by product, engineering, and data leaders across 4 continents.

Series A–DStartup clients
1 business dayResponse time
2–40Engineers per team
18 moAvg engagement

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 controls, ISO 27001-aligned, GDPR-compliant delivery

Client retention

18 months avg engagement, most extend beyond Y1

Recent engagements — anonymized for confidentiality

  • Consumer lending platformSeries C · North America
  • National healthcare networkPatient-facing systems · EU
  • Last-mile logistics carrierRoute optimization · MENA
  • Vertical SaaS vendorSeries B · United Kingdom
  • Omnichannel retailerD2C re-platform · US
  • Government services agencyCitizen portal · APAC

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
Read the case study
Services by outcome

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

Modernize platforms, secure delivery, and make cloud infrastructure easier to operate.

Process

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.

1

Discovery

Risks, constraints, and the first valuable slice

2

Architecture

System shape, trade-offs, and measurable success criteria

3

Delivery

Weekly working software, not status theater

4

Launch

Security, performance, accessibility, and operational handover

  1. Step

    Discovery & scoping

    One to two weeks. We map the outcome, constraints, risks, and the smallest first slice that proves the path.

  2. Step

    Architecture & plan

    A short decision record covers the system shape, delivery plan, team, and what success looks like by week.

  3. Step

    Build in slices

    Weekly demos of working software. Continuous deployment to a staging environment from day one.

  4. Step

    Harden & launch

    Performance, security, accessibility, and observability passes. Go-live runbooks and on-call handover.

  5. Step

    Operate & evolve

    Many clients keep us on for long-term operations, optimization, and new initiatives.

Why MayaLogic

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.

Inside the engineering room

Senior people, working in the open.

No account managers between you and the people writing your code. You join the same channels, see the same boards, and watch the same demos our engineers do. The work — and the thinking behind it — stays visible from the first sprint.

  • Demo FridaysWorking software on screen every week — never a slide describing it.
  • Written decision recordsEvery consequential architecture choice documented, with the trade-offs.
  • Pairing across the boundaryYour engineers pair with ours, so the knowledge stays when we leave.
MayaLogic engineers collaborating around a table
60+
Engineers, designers & SREs · 9+ yrs avg
A whiteboard architecture working session
An engineer working across multiple screens
Clients

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.
A. RahmanVP Engineering · FinTech (Series C)
The discovery phase alone paid for the engagement. They identified two architectural decisions that would have cost us a year to undo.
S. IqbalCTO · Healthcare SaaS
They embedded with our team without ego. By month three, you could not tell who was a MayaLogic engineer and who was ours.
M. ChenDirector of Product · Logistics platform
Senior people who write production code and own the outcome. The weekly demos kept everyone honest and the roadmap moving.
L. OkoyeHead of Platform · Retail (omnichannel)

Client names abbreviated under NDA. References available on request.

Let’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 an engineer — not a sales rep — within one business day.

Products shipped
120+
Client retention
98%
Response time
1 business day
MayaLogic — Software, AI & Cloud Engineering for Ambitious Teams