Service · Custom Software & AI Solutions

Custom software built around your business —
with AI woven in.

From internal tools to modernized legacy systems to AI-augmented platforms. Software that fits your operation instead of forcing your operation to fit the software.

8–20w
To shipped MVP
2-week
Increments
99.9%
Uptime targets
3–5x
ROI year 1
Principle

Custom doesn't mean from scratch. It means built around how your business actually works.

The Shift

Custom software used to mean expensive and slow.Modern stacks and AI changed both.

2018
Custom code

Hand-built software for unique problems. Slow to ship, expensive to maintain.

2020
No-code / low-code

Drag-and-drop for simple workflows. Hits a wall when complexity grows.

2022
API-first stacks

Managed services, type-safe codebases. Custom built faster on better foundations.

2024
AI-augmented build

AI codes alongside engineers. AI integrated into the products being built.

2026
AI-shaped software

Custom software where AI is structural, not a sidebar feature.

Capabilities

What we deliver.

Four core capabilities. Most projects use all four — custom software demands engineering rigor across discovery, build, AI, and operations.

01

Discovery & strategy

We start by understanding your business — the operations, the constraints, the people, the math. The right software starts with the right scope, not the right framework.

02

Custom application development

Internal tools, customer-facing applications, modernized legacy systems. Built to fit your operation instead of forcing your operation to fit the software.

03

AI integration & augmentation

Embed AI where it creates real value — copilots, automation, intelligent search, decision support. We pick the AI angle based on what moves your metrics.

04

Operations & ongoing support

We ship software that's observable, maintainable, and recoverable. Then we stay available — for fixes, features, and the inevitable "can we add one more thing."

How we work

A 5-stage methodology — from problem to shipped product.

Working software every two weeks. Production data shapes iteration. You steer as we ship.

01

Discovery

Map the business problem. Define success in numbers — time saved, error rate reduced, revenue enabled. Without this, "custom" becomes "expensive."

02

Design

Architecture, data model, UX flows. We pick the patterns that fit your scale and team — not the trendy ones. AI gets designed in, not bolted on later.

03

Build

Ship in 2-week increments. Working software every two weeks beats specifications no one reads. Code reviewed, tested, observable from the start.

04

Deploy

Production deployment with CI/CD, observability, security from day one. We don't hand off a tarball and say good luck.

05

Iterate

Telemetry → feedback → next version. Real usage shapes the product. We stay available for fixes, features, and the next bet.

Build Options

Custom software is not one thing.

Four ways to approach a custom build. Most engagements are hybrids of these patterns.

New from scratch

Greenfield build

You have a clear need, no existing system

Internal tools · MVPs · vertical SaaS · AI-native products
Clean architecture. Modern stack. AI integrated from day one.
Longer initial timeline. Need to build operational muscle.
Replatform

Modernization

Existing system that's slowing the business

Legacy ERP → modern stack · monolith → service-oriented · on-prem → cloud
Preserves business logic. Lower risk than rewrites.
Discovery is half the work. Edge cases hide in legacy code.
Add intelligence

AI augmentation

Existing software needs AI features

Copilot for support team · smart search · document analysis · AI-powered automation
Faster ROI. Minimal disruption. Clear metrics.
Limited upside. AI stops at the feature layer.
Most common

Hybrid (build + integrate)

Custom code + best-in-class SaaS

Custom portal + Salesforce + Stripe + AI agents · custom workflow engine + managed observability
Build what differentiates. Buy what doesn't. Faster delivery.
Integration complexity. Vendor management overhead.
Stack

The tools we use — and why.

Optimized for team productivity and long-term maintainability. Not trends.

Frontend

React / Next.js / Vite
Picked by SEO, interactivity, and team familiarity. TypeScript front-to-back.
TailwindCSS + shadcn/ui
Fast iteration. Clean design system. Survives team handoffs.
Mobile (React Native, Flutter)
Cross-platform when one codebase fits. Native when performance demands it.

Backend

Node.js / TypeScript
One language across stack. Type safety for AI tool contracts.
Python
For ML pipelines, data processing, where the ecosystem demands it.
Postgres + Drizzle / Prisma
Default database. Type-safe ORM. pgvector for AI embeddings.

AI Integration

OpenAI / Anthropic
GPT-4.1 and Claude Sonnet 4.6 as defaults. Switch by use case.
RAG patterns
Knowledge-grounded answers from your documentation, runbooks, historical tickets.
Agent orchestration
LangGraph, OpenAI Agents SDK, or custom — picked by complexity.

Infra & Operations

AWS / GCP / Vercel
Managed where it makes sense. Picked by your existing posture.
GitHub Actions / Terraform
CI/CD and infrastructure as code. Reproducible environments.
Sentry + Datadog / Grafana
Error tracking, distributed tracing, dashboards. Production observability from day one.
Outcomes

Ranges we typically deliver.

Numbers vary with scope and complexity. Here's what custom software projects deliver in practice.

8–20w
To shipped MVP
Working software in production, not slideware
2-week
Increments
Working software every two weeks — you steer as we ship
40–70%
Time reduction
On the manual processes we automate or augment
99.9%
Uptime targets
Production SLA — observability + alerting + rollback
3–5x
ROI in year 1
Typical payback on custom software vs. status quo
Day 1
AI-ready
AI integrated where it moves metrics, not as a press release
Who we work with

What we'd build for your stage.

Different stages need different approaches. Here's how we work with each.

SMB / mid-market

Internal tools

Custom dashboards, ops portals, customer-facing applications. Replace spreadsheets, brittle integrations, and SaaS subscriptions that don't quite fit. Software built for how your business actually operates.

Enterprise

Modernization

Replatforming legacy systems without big-bang rewrites. Strangler patterns for monolith decomposition. Cloud migrations with zero downtime. Compliance posture (SOC 2, HIPAA, GDPR) designed in from day one.

Startups / founders

MVP to scale

MVP launch in 8–16 weeks. AI-native products from day one. Multi-tenant architecture so you can sell to enterprise without re-architecting. Engineering rigor that survives the Series A growth curve.

AI augmentation

Existing software

Add copilots, intelligent automation, smart search, decision support into existing applications. RAG-grounded answers from your knowledge base. Custom AI features built into the products you already ship.

Engineering Posture

Built right from day one.

Security by design

SOC 2-aligned controls, audit logs, encryption at rest and in transit. Compliance designed in from day one, not retrofitted before the first enterprise customer.

Observability built in

Structured logs, distributed tracing, alerting that wakes you only when needed. Software you can debug at 3am because the data is already there.

You own the code

No proprietary platforms. No vendor lock-in. You own the codebase, the infrastructure, the runbooks. The exit is as clean as the entrance.

Maintainable handoff

Documentation, runbooks, test coverage, type safety. Software your team can take over without us — but we stay available when you want us to.

Why Aithentics

We build to hand off.

Custom doesn't mean from scratch

We build what differentiates and buy what doesn't. Hybrid stacks of custom code + best-in-class managed services beat pure custom builds almost every time.

AI woven in, not bolted on

AI integrated where it creates real value — measured by metrics, not by press releases. Copilots, automation, intelligent features that compound with usage.

Ship in 2-week increments

Working software every two weeks beats specifications no one reads. You see progress; we get feedback; the product gets sharper on each cycle.

Engineered for handoff from day one

Typed code, tested code, observable code. Documentation. Runbooks. You're not hostage to us. We're your build partner, not your platform.

FAQ

Honest answers.

Strategy

Engineering

Engagement & Cost

Need software that fits your business?

Tell us the problem. We'll come back with a scoped plan, fixed-fee discovery, and a working prototype within 4–6 weeks.

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