85% of AI projects never reach production — we fix that

AI that ships, not just demos

Most AI projects stall after the prototype — especially at growing companies and Gulf enterprises who trusted the wrong vendor. We architect for production from day one, put senior engineers on every build, and hand you every line of code.

< 3 days
Written spec delivered
Fixed price
No scope creep
EN / AR
Gulf + US + EU
verel-ai — production
Enterprise RAG
42ms
retrieval
96%
confidence
287ms
total latency
0
hallucinations
Why most AI projects fail

85% of AI projects never reach production. Here's what goes wrong — and how we prevent it.

POC passes, production breaks
We architect for real load from day one. No prototype code in production.

73% of failed projects were prototypes deployed as systems

Vendor disappears after launch
30-day post-launch support included. You get full source code — not a black box.

Most agencies treat launch as a handoff, not a milestone

No fixed price or timeline
Written fixed-price proposal before any code is written. Scope locked in writing.

Scope creep is the #1 cause of AI project budget overruns

Junior team after the sales call
Senior engineers on every engagement. The person scoping your project builds it.

84% of AI failures trace back to leadership and team quality issues

Your data never leaves your building
On-prem and private cloud deployment options. Your data stays yours.

Data sovereignty is the #1 blocker for Gulf enterprise AI adoption

AI hallucinates on critical queries
Citation-backed RAG with reranking and confidence scoring. Every answer is traceable.

Only 12% of organizations have AI-ready data without hallucination risk

Who this is for

Mid-market founders. Gulf enterprises. Teams that already tried once.

We sit between Big 4 consultancies ($300K+ starting price) and freelancers who never reach production. Senior engineers. Fixed price. Delivered in weeks, not quarters.

Founders & CTOs

Building AI into your product for the first time. You need it architected for production — not a prototype that impresses in demos and breaks under real users.

$6K – $40K

Gulf Enterprises

UAE, Saudi, and MENA clients who need Arabic-first AI, on-prem deployment, and a guarantee that data never leaves your infrastructure. We build in Arabic and deploy locally.

Data sovereignty + Arabic support

Teams That Tried Once

You built internally or hired a freelancer. It didn't ship. Now you need senior engineers with a track record — and a fixed-price contract before work starts.

30-day post-launch support included

Not the right fit if: you need Big 4 brand cover for a board presentation · budget under $5K · or you want a ChatGPT wrapper.

What we build

Four production systems. Yours in 6–10 weeks.

Not prototypes. Not ChatGPT wrappers. Production systems with full source code, owned by you forever. Six systems still running in production today.

Invoice #1048
Lead qualify
Report gen
✓ Filed
✓ Routed
✓ Sent
23 min saved · 4 tasks automated
$8K – $25K

AI Agent Systems

The 3-hour daily task your team hates — automated end-to-end

Tell us the workflow eating your team's hours: invoice processing, lead qualification, contract review, report generation. We build a system that runs it automatically, routes edge cases to a human only when it genuinely needs judgment, and logs every decision. Average ROI: 171%. Knowledge workers recover 6.4 hours per week. Typical payback: under 5 months.

LangGraph
FastAPI
Redis
PostgreSQL
See how it works
query
"liability cap in MSA §8"
scan
124k docs
§8.3: aggregate liability capped at fees paid in prior 12 months...
p.12
96% confidence · 42ms retrieval
$15K – $35K

Enterprise RAG Engines

Your entire document library, searchable by meaning — every answer cites its source

Stop losing hours to Ctrl+F across 50,000 documents. We build a private knowledge base on your contracts, manuals, policies, and reports — answers in plain language, cites the exact page. Runs fully on-prem if your data cannot leave the building. $3.70 returned per $1 invested. Most deployments pay for themselves within 60 days of operation.

Qdrant
LlamaIndex
Qwen
Docker
See how it works
AR
أريد حجز موعد
✓ Booked
340ms end-to-end · 24/7 uptime
$8K – $18K

Voice AI & Automation

Never miss a call — AI answers, qualifies, and books in Arabic or English, 24/7

An AI receptionist that picks up every call, understands Arabic or English, checks your calendar, and confirms the booking — no hold times, no sick days. AI handles calls at $0.11/minute vs $2.70–$5.60 for a human agent. 24/7 coverage, zero call center overhead. ROI of 500–3,700% reported. Deployed in 4–6 weeks.

Deepgram
ElevenLabs
Twilio
LangChain
See how it works
Authentication
AI Engine
Billing + API
Frontend
✓ Deployed to production
$25K – $45K

AI SaaS Development

Your AI product idea, built and shipped by engineers who have done this before

Not a prototype. A complete product: authentication, billing, AI features, database, API, and a production deployment your users can actually pay for. We have shipped AI SaaS products before — you get that experience, not someone's learning curve. AI features consistently add 18–25% incremental revenue on enterprise deals.

Next.js
Supabase
Stripe
OpenAI
See how it works
The alternatives

Same production outcome. One-tenth the price.

We carry 15% of their overhead and none of their vendor partnerships. The engineers you meet are the ones who build your system — no junior handoff, no subcontracting.

Big 4 Firm
$150K – $400K
9–18 months
Junior delivery, senior sales pitch
In-House Hire
$80K – $120K/yr
6–12 mo to productive
Hard to find, harder to retain
Freelancer
$15K – $50K
3–6 months
Quality unvalidated at scale
Verel Systems
$8K – $45K
6–10 weeks
Fixed price, senior engineers

* Big 4 firms generated $15B+ in tech vendor alliance revenue in 2024. Our recommendations are fully vendor-independent.

How we work

Fixed price. No surprises.

Most AI projects fail because scope was never defined. We define it first — in writing — before a dollar changes hands.

01

Free Architecture Call

30 minutes. We map your data, workflows, and constraints. You get an honest answer: is AI actually the right tool here? If it isn't, we'll tell you.

02

Written Spec in 3 Days

A detailed architecture document: agent topology, data flow, vector store strategy, latency targets, integration points, and a fixed price. You sign off before any code is written.

03

Build in 1-Week Sprints

Working demos on your real data at every sprint. No big-bang delivery. You see the system running — and can course-correct — before it's complete.

04

Full Handoff. You Own It.

Complete source code, deployment runbook, and documentation. 30-day post-launch support included. The system runs in your infrastructure — you own it fully.

Production proof

Six systems. Still running.

Real before/after metrics from production deployments. Not benchmarks. Not pilots. Systems that have been live for months.

AI Agent SystemFeb 2025 · Still Running

Legal Research Agent — Law Firm

Before: Partners spending 4+ hrs per research brief. 3 paralegals on research full-time.

Multi-agent LangGraph system queries 200K+ case law documents, extracts precedents, and drafts structured briefs — with a human review gate before delivery. Validated at 97% accuracy by senior partners.

30×
faster per brief
97%
accuracy rate
$180K
labor freed/yr
7 min
avg brief time
LangGraph
FastAPI
Qdrant
ROI positive month 3
Enterprise RAGApr 2025 · Still Running

Policy Knowledge Base — Gulf Financial Firm

Before: Compliance team answering policy questions manually. 4–6 hr turnaround. Data could not leave the building.

On-premise RAG on private GPU hardware — zero cloud exposure. 10,847 policy documents ingested. Serves instant, cited answers while meeting strict Gulf data residency requirements.

<800ms
P95 response
100%
data on-prem
6h → 45s
answer turnaround
10,847
docs ingested
LlamaIndex
Qdrant
Qwen3.5
Docker
ROI positive week 2
Voice AIJun 2025 · Still Running

AI Receptionist — Medical Clinic, UAE

Before: 30–40% of after-hours calls missed. 1 front-desk staff handling all inbound bookings.

Bilingual AI receptionist in Arabic and English answers every call, checks live calendar, books appointments, and sends SMS confirmations — 24/7 with no hold times.

0
missed calls
+34%
bookings increase
<500ms
latency
24/7
uptime
Deepgram
ElevenLabs
Twilio
ROI positive month 2
AI Agent SystemAug 2025 · Still Running

Invoice Processing Automation

Before: Finance team spending 3+ hrs/day on 50–80 invoices. 8% manual error rate causing payment delays.

n8n orchestration + Claude Opus 4 for extraction + confidence-threshold routing to human review for edge cases + direct ERP integration. Every decision logged and auditable.

88%
time reduction
0.3%
error rate (↓ from 8%)
23 min
daily (was 3+ hrs)
M2
ROI positive
n8n
Claude Opus 4
FastAPI
ROI positive month 2
Enterprise RAGOct 2025 · Still Running

Support Automation — E-Commerce

Before: 4 agents handling 600+ tickets/week. 48-hr avg resolution time. High burnout from repetitive queries.

RAG over 3,200 product docs, return policies, and live order data. Handles routine tickets autonomously; routes genuine edge cases to humans with full context pre-loaded.

74%
tickets automated
6h
resolution (↓ from 48h)
capacity, same team
$120K
support cost/yr avoided
LlamaIndex
Qdrant
Composio
Zendesk
ROI positive month 1
AI SaaSJan 2026 · Still Running

Property Intelligence Platform — Proptech

Before: Founder had validated concept but no technical co-founder. Manual analysis process that couldn't scale.

Full AI SaaS built from scratch: Next.js, Supabase, Stripe billing, Claude Sonnet 4 for property analysis, real-time data integrations. Shipped in 9 weeks from kickoff to paying customers.

9 wks
kickoff to live
120
paying users, month 1
$4.2K
MRR at launch
100%
source code yours
Next.js
Supabase
Stripe
Claude Sonnet 4
Revenue from month 1
Tech stack

We work at the frontier

LangGraph 1.0, n8n AI agents, Claude Opus 4, GPT-5, MCP — senior engineers who stay current and deploy what actually works in production today, not what worked in 2023.

Orchestration & Agents
LangGraph 1.0n8nOpenClawClaude Agent SDK
3.1sreplaces 4 hours of manual legal research
Frontier LLMs
Claude Opus 4GPT-5Gemini 3.1 ProQwen3.5
0hallucinations — citation-backed answers only
RAG & Vector
QdrantpgvectorLlamaIndexExa
42msretrieval across 124,893 internal documents
Data & Ingestion
DaftFirecrawlComposionomic-embed
8.3s47,291 vectors indexed — 847 pages ingested
Voice & Realtime
Deepgram Nova-3ElevenLabs FlashTwilioWebRTC
< 487msend-to-end · Arabic + English · 24/7
Frontend & Protocol
Next.jsReactTypeScriptMCP
12tools connected via MCP — any model, zero boilerplate

Click any card — see the production output. Highlighted cards link to the full technical write-up.

Free 30-minute architecture call

You'll know if it's worth building
before we write a line of code.

30 minutes. We'll map your workflow, identify whether AI is actually the right solution, and give you a written architecture spec within 3 days. Fixed price before any work starts.

Available in English and Arabic · US · UK · Gulf · Europe