Representative Engagements

How We Deliver

Illustrative engagement scenarios that show how we scope, build, and ship — including the tradeoffs we make along the way.

About these case studies: the engagements below are illustrative scenarios, representative of the kinds of projects our senior team designs and delivers. Client names are fictional and details — including metrics — have been generalized to respect confidentiality. They exist to show how we think about scope, architecture, and tradeoffs. We are glad to walk through relevant, verifiable work during a scoping call.

UAEFinEdge· UAE
FinTechIllustrative example
7 weeks

KYC Decisions in Minutes — With Compliance Still in the Loop

An AI document-verification pipeline for a Gulf-region fintech: OCR extraction, fraud-signal scoring, and automated approval for clean submissions, with flagged documents routed to a human review queue.

Key tradeoff: Full auto-approval was rejected early — compliance kept final sign-off on flagged cases, trading some throughput for auditability.

Scope: v1 covered passports and national IDs; proof-of-address OCR shipped in v1.1 once the core flow was stable.

11 min
Median KYC decision
−72.6%
Manual reviews
2.3%
Doc rejections (from 8.1%)
PythonFastAPIOpenAIAWS
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UKHealthPlus· UK
HealthcareIllustrative example
15 weeks

A Patient App on iOS & Android in 15 Weeks

A Flutter patient-engagement app for a telehealth provider: appointment booking, secure messaging, and video consultations, built against an existing EHR integration.

Key tradeoff: Managed video (Twilio) over self-hosted WebRTC — less control over the media layer, but it kept the clinical-compliance review on schedule.

Scope: v1 shipped booking, messaging, and video consults; wearables sync and AI triage were deliberately deferred to v2.

99.6%
Crash-free sessions
+31.7%
Booking completion
15 wks
Delivered in
FlutterNode.jsFirebaseTwilio
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USATechVentures· USA
SaaSIllustrative example
12 weeks

Embedded Senior Engineers, Sprint Velocity Up 38%

Four senior engineers embedded with a SaaS team stalled on a billing rewrite. First PR merged on day 3; velocity stabilized within two sprints and held.

Key tradeoff: We deferred the tempting infrastructure migration — shipping the billing rewrite first de-risked revenue before any replatforming work began.

Scope: Billing and reporting shipped first; the platform migration only started after velocity held steady for two consecutive sprints.

+38%
Sprint velocity
Day 3
First PR merged
−44%
Median backlog age
ReactTypeScriptDjangoPostgreSQL
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CanadaCloudScale· Canada
E-CommerceIllustrative example
9 weeks

Headless Storefront: Checkout Conversion Up 23.4%

A migration from a slow themed Shopify storefront to a Next.js headless front end with edge caching — while keeping Shopify checkout untouched.

Key tradeoff: We kept Shopify checkout rather than building custom — giving up some branding control to stay out of PCI scope entirely.

Scope: v1 launched the core storefront in two markets; multi-currency rollout to the remaining markets followed in phase 2.

+23.4%
Checkout conversion
1.7s
p95 LCP (from 4.1s)
9 weeks
Released in
Next.jsShopify APIRedis
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GermanyEduFlow· Germany
EdTechIllustrative example
17 weeks

An LMS With Live Classes That Students Actually Finish

A learning platform for a European upskilling provider: live classes, cohort progress tracking, and instructor dashboards, built to handle spiky class-start load.

Key tradeoff: Live video ran on a managed SFU instead of self-hosting — higher unit cost, but far lower ops risk for a small platform team.

Scope: v1 shipped live classes and progress tracking; AI quiz generation landed in v1.2 after instructor feedback shaped the format.

71%
Completion (from 58%)
140ms
p95 API latency
17 wks
Delivered in
ReactNode.jsPostgreSQLWebRTC
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AustraliaPropFind· Australia
Real EstateIllustrative example
13 weeks

A Property Marketplace With Sub-400ms Map Search

A real estate marketplace with interactive map search, Stripe-billed agent subscriptions, and automated listing ingestion from agency feeds.

Key tradeoff: Geo-search on Postgres + PostGIS instead of Elasticsearch — one less system to operate, at the cost of some faceting flexibility.

Scope: v1 shipped search, listings, and subscriptions; saved-search alerts were deferred to the first post-launch cycle.

380ms
Map search p95
+18.9%
Agent activation
13 wks
Shipped in
Next.jsPostGISStripe
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