01
Teams shipping user-facing products where GraphQL’s strengths compound over time.
Fits you
Senior GraphQL · 5-day deploy
99.97%
Uptime
180ms
P95 latency
100K
Concurrent users
GraphQL
One schema. Many clients. Every field earned.
GraphQL works beautifully when designed properly. It becomes a nightmare when bolted on. We design it properly.
# Schema-first, resolver-second
type Order {
id: ID!
items: [OrderItem!]!
total: Money!
customer: User! # resolved via dataloader
}
SaaSFintechHealthtechE-commerceEdtechLogisticsSaaSFintechHealthtechE-commerceEdtechLogisticsSaaSFintechHealthtechE-commerceEdtechLogistics
Who this is for
When GraphQL is the right pick.
If any of these sound like you, we should talk.
02
Startups avoiding the "rewrite in year two" trap by picking a stack that scales with the team.
Fits you
03
Enterprises modernising legacy monoliths, module by module, without big-bang rewrites.
Fits you
04
Product teams who want senior engineering partners, not staff-augmentation bodies.
Fits you
The proof
How we structure a production GraphQL project.
LAYER 1
Architecture
Clear module boundaries. Typed contracts. No circular dependencies. Easy to onboard new engineers in a week, not a month.
LAYER 2
Testing
Unit for logic, integration for boundaries, E2E for critical flows. 80%+ coverage on money-handling paths.
LAYER 3
Observability
Structured logs, traces, metrics. Every deploy has an alarm trail. Every 3AM incident has a trail back to root cause.
What we build
Where we deploy GraphQL.
01
Greenfield products
v1 through to first scale.
02
Team augmentation
Senior engineers embedded with yours.
03
Legacy modernisation
Strangler-fig migration to GraphQL.
04
Code review & audit
Independent technical audit for investors or acquirers.
ClientA marketplaceSaaS
Went from 14 REST endpoints per page to <em>one GraphQL query</em>, 5× fewer round trips.
A GraphQL project where architecture decisions made in week one held up under 100× scale. No rewrite. No regrets.
01
99.97%
Uptime
02
180ms
P95 latency
03
100K
Concurrent users
04
14
Engineers on the codebase
What it's like working with us
Three GraphQL agencies told us the job would take 9 months. Ligio shipped in 14 weeks. Better code than the last two hires.
HP
Harish P.
CTO · A marketplace
SaaS · India
Tech stack
The tools. Chosen for your reasons.
08technologies in rotation
01Apollo Server
02GraphQL Yoga
03Hasura
04Relay
05urql
06DataLoader
07federation
08Persisted queries
Process
How we actually work.
06 stages
01
Scoping
Is GraphQL right for your problem?
Week 1
02
Architecture
Data model, services, deployment.
Weeks 1-2
03
Scaffold
CI/CD, lint, tests, observability.
Week 2
04
Build
Features. GraphQL idioms. Senior code.
Weeks 3-12
05
Harden
Load test, security, docs.
Weeks 12-14
06
Launch
Staged rollout. 30-day on-call.
Week 14
Questions
Answers, without the fluff.
Still have questions? Talk to us — we answer within a business day.
05common questions
01GraphQL or REST?
GraphQL when many clients (web, mobile, partner) need different slices of the same data. REST for public APIs and simple CRUD.
02How long does a typical engagement take?
Most projects run 10-18 weeks from kickoff to production launch. We share a milestone plan in week one and update weekly.
03Do you sign an NDA?
Yes. Standard mutual NDA on request, before the first technical conversation.
04Who owns the code and IP?
You do. Code is in your GitHub org from day one. All IP transfers unambiguously on delivery.
05What does your pricing model look like?
For v1 builds: fixed scope, fixed milestones. For ongoing work: monthly retainer with a defined team. We don't do time-and-material surprise billing.
Related
Explore more of what we do.
GraphQL done properly.
A 30-minute technical conversation. Bring your architecture questions.
NDA on request.