EN UA RU

INDUSTRIES

Choose your vertical.
See what we build there.

Each section covers the real problems we see in that space — the workflows, the edge cases, and the specific engineering work that fixes them.

WORKFLOWS

What the business actually runs day-to-day.

EDGE CASES

The "small" rules that break systems at scale.

WHAT WE DO

Concrete build scope, not generic positioning.

Skim 2–3 sections. The patterns and constraints will feel instantly familiar if it's your space.

0
Industry verticals
0
Platform certifications
0 +
Engineers on the team
0 +
Integrations delivered
INDUSTRIES · 01

Retail & D2C

revenue-critical

We engage when money leaks due to systemic causes: traffic peaks, promo edge-cases, ERP/PIM/OMS data drift, and performance degradation under load.

Common Challenges
01
Checkout degrades at peak

Black Friday, flash sales and burst traffic events expose architectural gaps — cart freezes, stock race conditions, payment timeouts.

02
Promo & pricing edge-cases

Stacked coupons, B2B pricing tiers and regional rules silently produce wrong totals or block valid orders at scale.

03
ERP / PIM / OMS data drift

Siloed integrations cause inventory, price and order state inconsistencies that compound into customer-facing incidents.

What changes
01
Checkout survives peak traffic

Campaigns, flash sales and Black Friday run without emergency engineering. No cart freezes, no race conditions, no rollbacks — orders complete.

02
Promos apply correctly every time

Stacked discounts, B2B tiers and regional rules calculate as defined. No silent pricing errors, no manual corrections after orders close.

03
Stock and orders stay in sync

ERP, PIM and OMS stay consistent. Data drift stops before it reaches customers — inventory and order state reflect reality, not the last sync.

INDUSTRIES · 02

B2B & Wholesale

enterprise-grade

Enterprise buying is not retail. Custom pricing, multi-step approvals and quote-based workflows require a fundamentally different architecture.

Common Challenges
01
Account pricing doesn't scale

Managing contract price books per customer in standard platforms becomes a maintenance nightmare at 50+ accounts.

02
Approval workflows are manual

Multi-level sign-off for orders and quotes is handled by email and spreadsheets — slow, error-prone, untrackable.

03
Quote-to-order pipeline leaks

Manual quote conversion, no version tracking, no audit trail. Revenue slips between steps when the process isn't systematized.

What changes
01
Every account gets their contracted price

Custom pricing scales to hundreds of accounts without spreadsheet maintenance. Customers see exactly what they've agreed — automatically, every time.

02
Approvals happen in the system, not email

Multi-level sign-off is tracked and auditable. Large orders don't stall in inboxes — the process runs, and you see where anything is at any point.

03
Quotes convert without manual handoffs

From draft to order, the pipeline runs without gaps. No revenue falls between steps, and every quote version is on record.

"Every vertical has its own edge-cases. The fastest way to scope a project is to name them upfront — then engineer around them."

6mo Avg. time to production
3x Faster scoping with playbooks
0 Surprises at launch
INDUSTRIES · 03

Marketplaces

multi-vendor

Connecting buyers and sellers at scale means engineering for multi-tenancy, revenue distribution and conflict resolution from day one.

Common Challenges
01
Seller onboarding is slow

Manual verification, product upload and catalog sync create operational bottlenecks — sellers churn before they go live.

02
Payout logic is complex

Revenue splits, escrow timing, refund handling and tax compliance across thousands of transactions need bulletproof logic.

03
Inventory & catalog conflicts

Multiple sellers offering the same SKU without conflict resolution produces duplicate listings, price wars and buyer confusion.

What changes
01
Sellers go live without operations overhead

Onboarding, verification and catalog setup are self-service and predictable. Sellers don't churn during setup — your team doesn't carry each one manually.

02
Payouts settle on time, every time

Commissions, splits and refunds calculate correctly across thousands of transactions. Finance doesn't chase discrepancies — reconciliation runs and matches.

03
The catalog stays clean as it scales

Duplicate listings and conflicting data don't reach buyers. As more sellers join, product data consolidates — not fragments across the storefront.

INDUSTRIES · 04

FinTech & Payments

mission-critical

Payment infrastructure is where engineering errors cost money directly. Reliability, auditability and compliance are not optional — they are the product.

Common Challenges
01
Payment failures are invisible until they're not

Silent timeouts, gateway errors and race conditions in transaction flows drop revenue without triggering alerts — until reconciliation fails days later.

02
Compliance slows down every release

PCI DSS scope, audit requirements and data isolation rules turn routine deployments into compliance reviews — slowing the entire engineering team.

03
Reconciliation is manual and error-prone

Multi-gateway settlements, currency conversions and refund flows create discrepancies that finance teams chase manually across spreadsheets.

What changes
01
Failures surface before reconciliation

Every timeout, retry and state transition is logged and recoverable. Issues show up in monitoring — not in a finance spreadsheet three days later.

02
Compliance doesn't slow every release

Architecture is scoped to contain audit surface. The team ships without repeated compliance reviews — PCI scope is bounded, not growing with every feature.

03
Reconciliation runs without manual work

Settlements, refunds and currency conversions match automatically, daily. Finance stops working in spreadsheets — anomalies are flagged, not discovered.