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06 / Applied AI

Production AI, not demos.

Multi-provider, multi-language, action-aware — every action confirmed before it runs. Nello, our in-house AI co-pilot, is built on this exact stack, so we know what ships and what doesn’t.

Private your data Guardrailed no rogue output In production not demos

01 — Discovery

Find the real use case.

We separate the AI features that create value from the ones that just demo well.

Use-case audit · feasibility

02 — LLM apps

Models with guardrails.

Chat, copilots and assistants that propose actions and wait for a human yes.

RAG · tools · approvals

03 — Automation

Work that runs itself.

Content, classification and workflow automation wired into your real systems.

Pipelines · agents · ops

04 — Search & RAG

Answers from your data.

Retrieval over your own content, cited and current — not hallucinated.

Embeddings · retrieval · cite

05 — Multi-provider

No single vendor lock.

Gemini, Claude or local Ollama — bring your own key, swap models freely.

Gemini · Claude · Ollama

06 — Productionise

Audit-logged & safe.

Role-aware, site-scoped, audit-logged — built to pass a security review.

Audit log · roles · scope

Tailored to your stage

One discipline, sized to you.

Startup, scaling, enterprise or non-profit — the scope, pace and engagement flex to where you are. Pick your stage.

Equity & founder-friendly terms

Ship one AI feature that actually works.

Startups adding a first AI capability.

  • One high-value AI feature
  • Retrieval-grounded & guardrailed
  • Provider-agnostic setup
  • Usage analytics & cost controls
  • Production-ready, not a demo
Request a proposal
Growth retainers available

AI woven through the product.

Teams operationalising AI across features.

  • Multiple AI features & pipelines
  • Tool-calling & workflow automation
  • Evaluation & quality monitoring
  • Cost & latency optimization
  • Optional ongoing retainer
Request a proposal
Dedicated SLAs & support

AI in production — governed and private.

Enterprises needing private, auditable AI.

  • Private / in-VPC model deployment
  • RBAC, audit logs & data governance
  • System & ERP integrations
  • Evaluation, guardrails & red-teaming
  • SLAs, monitoring & documentation
Request a proposal
Discounted non-profit rates

AI that stretches a small team.

Non-profits doing more with limited capacity.

  • Automation for repetitive work
  • Grounded assistant on your content
  • Multilingual support
  • Cost-conscious, transparent setup
  • Simple for non-technical staff
Request a proposal

By the numbers

AI that’s safe to ship.

0

providers supported — Gemini, Claude, local Ollama

0

languages drafted natively, including Arabic

0%

actions confirmed by a human before they run

18

built-in tools across search, drafting and actions

The stack

Built like Nello — because it is.

The same multi-provider, action-aware stack that powers our own dashboard co-pilot.

Gemini Claude Ollama RAG / embeddings Tool-calling Action approvals Audit logging Role-aware Multi-language Telegram bridge

How we work

Discover. Design. Ship.

01
Week 01 – 02

Find the use case.

We audit where AI actually creates value and where it just adds risk.

  • Use-case audit
  • Feasibility
  • Data review
02
Week 03 – 06

Prove it works.

A working prototype on your data, with humans in the loop from day one.

  • RAG prototype
  • Tool design
  • Approval flow
03
Week 07 – 12

Ship it safely.

Audit logging, roles and scoping so it passes a security review, not just a demo.

  • Guardrails
  • Audit & roles
  • Deploy
Voices

What clients say after shipping.

Nello cut our content cycle from two weeks to two days.

Head of Marketing · retailer

Production AI that our security team actually approved.

CISO · enterprise

Grounded, auditable, and fast. Not a toy.

VP Engineering · SaaS

It just works — in production, every day.

CTO · platform
Questions

Before you brief us.

No. We build multi-provider — Gemini, Claude or local Ollama — so you bring your own key and swap models without a rewrite.
Every action is proposed and confirmed by a human before it runs — audit-logged, role-aware and scoped to the site.
Yes — retrieval over your content with citations, so answers are current and grounded, not hallucinated.
No. It’s action-aware — it can search, draft, generate and propose real operations, always with a human in the loop.
Because we run it ourselves. Nello, our dashboard co-pilot, is built on this exact stack.

Let’s ship AI you can trust.

Tell us where AI could help. You’ll leave with an honest read on what’s feasible — and what isn’t yet.

End of issue · 2026.05

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