AI & Machine Learning
LLM applications, retrieval pipelines, and ML models that make it to production — with evaluation and guardrails built in from day one.
Discuss an AI projectEnterprise software & AI engineering
Move Fast.
Stay in Balance.
We help startups and enterprises build secure, scalable software through AI-powered engineering and dedicated development teams — accelerating delivery without compromising architecture, security, or quality.
Trusted by leaders.
Backed by results.
What we do
Six disciplines. One accountable team.
From first architecture decision to day-two operations, every engagement is staffed with senior engineers who own outcomes — not tickets.
Custom Software Development
Web platforms, APIs, and internal tools built to your domain — clean architecture, tested code, and documentation your team can inherit.
Scope a buildProduct Engineering
End-to-end product delivery — discovery, UX, build, and launch — for founders and product leaders who need a team that thinks in outcomes.
Plan a productCloud & DevOps
Cloud architecture, infrastructure as code, and CI/CD that turn releases into a routine — on AWS, Azure, or GCP.
Review your infrastructureStaff Augmentation
Senior engineers who integrate into your team in days, not months — vetted for craft, communication, and time-zone overlap.
Extend your teamQuality Engineering
Automated test suites, performance testing, and security review that keep your release cadence honest as the product grows.
Harden a release
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Years in business
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Engineers & designers
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Projects delivered
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Client retention
We measure ourselves on one number above all: how many clients ship a second project with us. Most do.
How we work
A six-stage path from idea to scale
Order matters here. Each stage has named deliverables and an explicit go/no-go, so you always know what you're paying for and what comes next.
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01
Discover
Stakeholder interviews, domain mapping, and technical due diligence. Deliverable: a scoped roadmap with cost and risk laid out.
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02
Design
System architecture, data models, and UX prototypes validated with real users before a line of production code.
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03
Build
Two-week sprints with demos you can click, not slide decks. Code reviewed, tested, and deployed continuously.
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04
Validate
Automated test coverage, load testing, and security review against an agreed launch checklist.
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05
Launch
Staged rollout with monitoring, alerting, and rollback plans rehearsed — launches are boring by design.
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06
Scale
Performance tuning, cost optimization, and a growing backlog informed by production data — not guesses.
Ways to engage
Pick the model that fits your team
Dedicated team
A full cross-functional squad — engineers, designer, QA, delivery lead — working only on your product, managed by us.
- Best for: new products and major rebuilds
- Ramp-up: 2–3 weeks
- Billing: monthly, per team
Staff augmentation
Individual senior engineers embedded in your existing team, using your tools and your process from day one.
- Best for: filling skill gaps fast
- Ramp-up: under a week
- Billing: monthly, per engineer
Fixed-scope project
A defined build with a defined price — scoped in a paid discovery phase so the estimate is grounded in evidence.
- Best for: well-defined builds and MVPs
- Ramp-up: after discovery
- Billing: milestone-based
Where we work
Deep in eight industries
Domain knowledge is half the job. These are the verticals where we've shipped repeatedly and know the regulations, data shapes, and pitfalls.
Fintech
Payments, ledgers, reconciliation, compliance tooling
Healthcare
Patient platforms, intake automation, HIPAA-aware systems
Logistics
Fleet routing, tracking, warehouse and dispatch systems
Retail & E-commerce
Storefronts, inventory, pricing and promotion engines
EdTech
Learning platforms, assessment tools, student analytics
Real Estate
Listings, valuation models, transaction workflows
Energy
Asset monitoring, forecasting, field operations tools
SaaS
Multi-tenant platforms, billing, usage analytics
Selected work
Outcomes, with the numbers attached
Reconciliation platform for a lending group
Replaced a spreadsheet-driven month-end process with an automated ledger reconciliation platform handling 2M+ transactions a month.
68% faster month-end close
Route optimization for a regional fleet
Built a routing engine combining live traffic, load constraints, and driver hours — with an ops dashboard dispatchers actually use.
31% fewer empty miles
AI-assisted patient intake for a clinic network
Automated document intake and triage with an LLM pipeline, human review queues, and full audit trails for compliance.
4× faster patient onboarding
What clients say
In their words
“Equilogix is the first vendor we've worked with that pushed back on our spec — and they were right. The product shipped smaller, sooner, and better than what we asked for.”
“Their engineers joined our standups within a week and were reviewing our team's PRs by the second. It genuinely feels like one team.”
Tools of the trade
A stack chosen for longevity
We standardize on boring, proven technology — and adopt new tools only when they survive our own production use first.
Frontend
- React
- Next.js
- TypeScript
- Vue
Backend
- Node.js
- Python
- Go
- .NET
AI / ML
- Claude & LLM APIs
- PyTorch
- LangChain
- Vector search
Data
- PostgreSQL
- Redis
- BigQuery
- Kafka
Cloud & DevOps
- AWS
- Azure
- Kubernetes
- Terraform
Quality
- Playwright
- Jest
- k6
- SonarQube
Start a conversation
Tell us what you're building
Book a free 30-minute consultation. You'll talk to an engineer, not a salesperson — and leave with an honest read on scope, cost, and risk.
- Response within one business day
- NDA on request, before any details
- No obligation, no pressure follow-ups
Prefer email? hello@equilogix.io