Skip to content
+[ OUR APPROACH ]

AI-assisted software development, owned by senior engineers.

Traditional teams hand-code everything from zero and take months to ship. AI-only tools ship fast and leave you with systems nobody can maintain. We take the third path: AI does the repetitive work at speed, and senior engineers own the architecture, the review and every decision that carries risk.

+[ 01: THE PROBLEM ]

Plug-and-play AI covers a fraction of the real workflow.

Generic AI tools sit on top of your stack. They can summarize an email thread, but they can't see your ERP, your contracts or your exceptions, so they never reach the work that matters. We connect every system involved first, map how they actually fit together, and only then build AI around them.

Plug & Play AI
Hovers over your stack. It never connects the systems where the real work lives.
✕
▦
Tools
✕
▤
Contract
✓
☰
Sheets
✕
❐
ERP
✕
◉
Data
✓
✉
Emails
◷Generic AICannot reach your real workflow
↓
✦Misses exceptions✕
↓
◴Low adoption✕
↓
▤No clear ROI✕
22%Coverage of real workflow
The Neltar way .
Plugs into every system and learns how they connect, then builds AI that fits.
✓
▦
Tools
✓
▤
Contract
✓
☰
Sheets
✓
❐
ERP
✓
◉
Data
✓
✉
Emails
⊞Neltar connects every system
↓
⌕Understand workflows✓
↓
⇄Map operational DNA✓
↓
✎Build custom AI system✓
↓
⚡Automate the busywork✓
↓
▲Recover margin✓
99%Coverage of real workflow
+[ 02: WHO DOES WHAT ]

AI handles the volume. Engineers own the judgment.

WHAT AI DOES: SPEED
  • Scaffolds services, schema and boilerplate
  • Generates test suites alongside the code
  • Writes the integration glue between systems
  • Drafts documentation as the code changes
  • Explores alternatives in parallel, so engineers can compare
WHAT OUR ENGINEERS OWN: JUDGMENT
  • Architecture and the data model
  • Review of every change before it merges
  • Security, access and anything touching production data
  • Edge cases, exceptions and failure modes
  • The final call on every decision that carries risk

The result ships at AI speed and can still be read, maintained and defended by your own team, even at 3 a.m., if it has to be.

+[ 03: HOW A PROJECT RUNS ]

From first call to production in four phases.

  1. 01
    DAYS 1–3

    Scope & align

    We map your goals, constraints and success metrics, then turn them into a concrete sprint plan you sign off on.

    You know the scope, the timeline and the price before any build starts. If custom software isn't the right answer, you hear it now.

    YOU GET
    • Written scope and success metrics
    • A fixed price and timeline
    • An outline of the architecture
  2. 02
    WEEK 1

    AI scaffold + human design

    AI generates the foundation, including services, schema and tests, while our engineers design the architecture around it.

    For anything involving an AI agent, we design the human review screen first, before the agent itself is written.

    YOU GET
    • A running foundation in your environment
    • Architecture decisions, written down
    • The review surface for every AI feature
  3. 03
    WEEKS 2–6

    Build & review

    Parallel agents accelerate the build while senior engineers review every change for quality, security and intent.

    Most teams see a working prototype within the first one to two weeks, then watch it harden into production software.

    YOU GET
    • A working prototype in weeks 1–2
    • Every change reviewed by a senior engineer
    • Tests that grow with the code
  4. 04
    WEEKS 6–8

    Ship to production

    We deploy into your environment, hand over clean documented code, and you own the whole system end to end.

    Documentation and the runbook are written during the build, not after it, so the handover is part of the work.

    YOU GET
    • Production deployment in your cloud
    • Documentation and a runbook
    • Code, infrastructure and credentials handed over
TRADITIONAL
6–12 MONTHS
NELTAR
2–8 WEEKS
+[ FAQ ]

Questions, answered.

It's a way of building software where AI generates much of the repetitive work, including scaffolding, tests and integration code, while experienced engineers design the architecture, review every change and make the decisions that carry risk. Done well, it ships production software in weeks instead of months without giving up quality.

See what this would look like for your team.

Thirty minutes with our engineers, a map of your workflows, and an honest answer on fit.

BOOK A STRATEGY CALL →