Senior engineering studio

Software, automation,
and domain engineering.

From enterprise integration to healthcare and tax. Senior engineers across systems integration, HIPAA technical engineering, AI automation, product builds, and e-invoicing — maintainable systems, clear operating costs.

  • Senior-only delivery pods
  • Security & privacy by design
  • Weekly outcomes
  • Clear written handover
orchestration · run #4182 LIVE
INPUTInbound requestform · email · API
GUARDPolicy checkpii · scope
DECISIONDecision layerclassify → route → escalate
CRMDOCSERP
OUTPUTValidated result12/12 checks
LATENCY1.4sCONFIDENCE0.94COST / RUN$0.011ESCALATIONS2
Shipped for teams in
Automotive marketplacesBehavioral healthcareProductivity SaaSApplied ML platformsMulti-tenant portalsPrivate AI deployments

4

Projects delivered end‑to‑end

92%+

Defects prevented before release

6 wks

Median time to first production release

AI‑ready

Systems instrumented for automation

Capabilities

Adopt once. Standardise everywhere.

Four practices, one accountable team. Pick a track to see what we hand over.

Product engineering

Ship products that keep working after launch.

Discovery, architecture and delivery with a senior pod embedded in your repo and your rituals. Trade-offs written down, not discovered later.

6 wksto first production release100%handover with runbooks + ADRs

Pipeline

Services

Two hard problems we’re known for.
Two capabilities that back them up.

Enterprise integration, HIPAA-ready healthcare software and tax technology are where clients come to us first. Agentic automation and product engineering are the same team, brought to bear on everything else.

Also available: Web & Mobile Development, QA & Test Automation, Private / Self-Hosted AI and AI Operations & Optimization.

Delivery

From ambiguity to a working system.

Select a stage to see what it produces. Every stage ends in an artefact you can review, not a status update.

Discover

One to two weeks of interviews, system walkthroughs and data review. We map how the work actually happens today — including the spreadsheet nobody mentions.

  • Current-state map and constraint list
  • Risk register with mitigation owners
  • Opportunity shortlist, sized by effort

SNAPSHOT

12

stakeholder interviews in a typical discovery

Selected work

Selected systems, built for real-world use.

View All Work
AUTOMOTIVE/APPLIED ML

Carmark — a calibrated price model for the used-car market

A public valuation platform for Pakistan, built on 180,975 market listings. A CatBoost quantile model returns a price band rather than a guess, and a conformal calibration layer makes its 90% confidence claim hold up against held-out data.

Applied MLProductDataSEO
5.97%median price error90.39%interval coverageRead case study
TAX TECHNOLOGY/E-INVOICING

InvoFuse e-invoicing platform

A multi-tenant platform we built and operate: invoices ingested from customer ERPs through scoped keys, tax and unit-of-measure mappings resolved, every document evaluated against the Peppol PINT-AE rule set, and compliant UBL generated.

Peppol PINT-AENestJSQueued ingestionMulti-tenant
~0.18sto accept 1,200 invoices
HEALTHCARE/MULTI-TENANT SAAS

Clinic management & patient wellbeing platform

Paper intake and spreadsheets replaced by one role-aware system for a multi-site behavioral health provider: a dynamic form builder, four scoped portals, passwordless access and an immutable audit trail, on AWS infrastructure defined as code.

Multi-tenantDjangoAudit logAWS IaC
4role portals

Why teams keep us

Engineering rigor at every layer.

Product-minded delivery

We push back on features that won’t earn their maintenance cost, and write down the trade-off we made.

QA embedded from day one

Test strategy lands with the architecture, not after the first outage. Coverage is reported, not claimed.

Automation that survives edge cases

Flows are built around the exceptions: retries, fallbacks, dead-letter paths and a human route out.

Security and privacy by design

Least privilege, data minimisation and a documented boundary for anything that touches a model.

Clear communication, measurable progress

A weekly written update: what shipped, what moved, what we’re worried about. No dashboards-as-theatre.

Long-term engineering partnership

Handover is a deliverable: runbooks, ADRs and a team that can operate the system without us.

Ways to work with us

Clear engagement models.
Built around the work ahead.

Start with a defined outcome, then scale delivery when the path is clear. Every engagement has a senior lead and a written plan.

Flexible Engineering
Support

For teams that need experienced engineering help without a fixed project commitment.

From $20/hrhourly rate
  • Senior engineering and technical guidance
  • Flexible hours based on your workload
  • Product, architecture and codebase support
  • Web, mobile, QA and AI specialists
  • Clear time tracking and weekly reporting
Discuss your needs

Embedded
Engineering Team

For established teams that need proven capacity without a long hiring cycle.

From $2,500per specialist / month
  • Senior engineers, QA or AI specialists
  • Join your tools, rituals and codebase
  • Scale capacity up or down monthly
  • Named lead and weekly delivery review
  • Aligned to your architecture and standards
Let’s Talk

What partners say

“AsterickLabs is a reliable engineering partner. Their team understands complex product requirements, delivers high-quality work, and communicates with the clarity and ownership you want from a long-term technology partner.”
MehranCTO, CarmarkRead the Carmark case study

FAQ

Questions we get before the first call.

Something not covered? Ask us directly.

Operational software with real users and real consequences: customer platforms, internal tools, portals, marketplaces, data and reporting products, and the integrations between them. We are strongest where a workflow has to be reliable, auditable and fast to change.

Tell us what needs to work. We’ll
tell you how we’d build it.

A 30-minute scoping call, a written approach and a delivery estimate
within three working days.