AI & ML ENGINEERING
EU · GLOBAL

We build production ML systems.
You own them.

Boutique AI consulting for SaaS. Document intelligence, computer vision, ML analytics — fixed-scope, fixed-price, fully self-hosted after handoff.

Packages
12 fixed-price
Lowest entry
$650 / 2 days
Recurring fees
Zero.
Response
~24 hours

Three practices.
One discipline.

v.01

Document & Data Intelligence

Turn PDFs, forms, and invoices into structured data — so your team stops doing it manually.

OCR Classification Extraction
view →
v.02

Computer Vision for SaaS

Visual QA at scale, anomaly detection, fine-tuned models — for marketplaces, e-commerce, and medtech.

Visual QA Anomaly Fine-tune
view →
v.03

ML Analytics & EDA

Stop guessing. Start knowing what your data actually says — insight reports, churn models, full stacks.

EDA Churn SHAP
view →
// principle

Most AI consulting is theater. A four-month discovery phase, a slide deck no one reads, and a Jupyter notebook that breaks the moment your engineer touches it. We don't do that.

Twelve fixed-price
offers.

01Document Intelligence

// fintech · legaltech · insurtech
OCR Benchmark
Test 3 commercial OCR APIs against your real documents. Get a 2-page go/no-go report.
$650
// 2 working days
  • Benchmark on 10 sample docs
  • 2-page executive summary
  • 30-min findings call
request →
Extraction Audit
Full diagnostic of your current OCR setup with failure-mode analysis and improvement roadmap.
$1,800
// fixed scope
  • 25-page audit report
  • Benchmark on 50 docs
  • 5 prioritized recommendations
  • 60-min walkthrough call
book audit →
most chosen
OCR Pipeline MVP
Production extraction pipeline for one document type. REST API, Docker, full source code.
$6,200
// fixed scope
  • Production Python pipeline
  • REST API with OpenAPI docs
  • Confidence scoring
  • Docker + deploy guide
  • Full source code (MIT)
  • 30 days bug-fix support
start mvp →
Intelligence Suite
Multi-type system with classifier, routing, admin UI, and monitoring. Production-grade.
$12,800
// fixed scope
  • Up to 5 document types
  • ML-based classifier
  • Admin dashboard (React)
  • Monitoring (Grafana)
  • CI/CD pipeline
  • 60 days bug-fix support
discuss build →

02Computer Vision

// e-commerce · marketplaces · medtech
CV Audit
Quick test on 50–100 images to validate whether your vision problem is solvable.
$900
// 3 working days
  • Test on 50–100 sample images
  • 3-page summary
  • 30-min findings call
request →
Feasibility Demo
Working prototype on real data. Proof your vision problem can be solved at acceptable accuracy.
$2,500
// fixed scope
  • Prototype on 100–500 images
  • 15-page accuracy report
  • Off-shelf vs custom comparison
  • Cost-to-scale projection
  • Demo notebook (Jupyter)
request demo →
most chosen
Visual QA Pipeline
Production CV pipeline with API, webhook integration, and annotation tooling.
$7,500
// fixed scope
  • Real-time scoring pipeline
  • REST API + batch processing
  • 5 custom QA rules
  • Webhook integration
  • Annotation tooling
  • 30 days bug-fix support
start pipeline →
Custom Model Build
Fine-tuned model trained on your data. Smaller, cheaper, and more accurate than generic APIs.
$13,500
// fixed scope
  • Fine-tuned custom model
  • Annotation pipeline
  • Reproducible training code
  • Edge-deployable variant
  • Continuous evaluation
  • 60 days bug-fix support
discuss build →

03ML Analytics

// early · growth-stage saas
Data Snapshot
Quick board-ready snapshot of your main metrics. 5-page PDF with key visualizations.
$650
// 2 working days
  • Quick metric analysis
  • 5-page board-friendly PDF
  • 30-min findings call
request →
EDA & Insight Report
Deep dive into your data. Senior data scientist deliverable for the price of one month of their salary.
$1,800
// fixed scope
  • 35-page insight report
  • 15+ custom visualizations
  • 3 actionable recommendations
  • Reproducible Jupyter notebook
request report →
most chosen
Churn Prediction MVP
Production churn model with calibrated probabilities, SHAP explanations, and a self-hosted dashboard.
$6,200
// fixed scope
  • Production churn model
  • Per-user SHAP explanations
  • Self-hosted React dashboard
  • One-command retraining
  • Full source code (MIT)
  • 30 days bug-fix support
start mvp →
Analytics Stack Build
Full ML-powered analytics: churn + activation + LTV models, unified dashboard, weekly reports.
$12,800
// fixed scope
  • 3 production models
  • Unified analytics dashboard
  • Automated weekly reports
  • Drift detection & monitoring
  • Internal team training (2hr)
  • 60 days bug-fix support
discuss build →

How we work.

step.01

Audit call

30 min, free. We map your problem to the right vertical — or tell you we're not the fit.

step.02

Proposal

Fixed scope, fixed price, written timeline. You see what we'll deliver before any contract.

step.03

Build

Weekly updates, working previews, no black box. Most engagements ship in 2 to 6 weeks.

step.04

Handoff

Source code transferred. Documentation complete. Your team owns it. We close the engagement.

07 trusted_by
FINTECH.IO
LEGALLAB
QURATE
DATAFLOW
VISOR.AI
CHURNLESS
DOCWISE
// confidential_work_anonymized
08

What we shipped in Q1 2026

document_intelligence 3 weeks

Fintech SaaS — Invoice processing at 94% accuracy

Client was manually processing 12,000 invoices/month. We built an OCR pipeline with field-level confidence scoring and human review queue. Now 2 engineers manage what took 8.

94% accuracy
$6.2k project_cost
3 week_build
full_breakdown() ↓

Stack: Python, Tesseract + PaddleOCR, FastAPI, Docker, PostgreSQL

Challenge: 47 distinct vendor invoice layouts, handwritten annotations, poor scan quality on 15% of documents.

Result: Field-level accuracy 94.2% on 500-doc validation set. Human review queue handles the remaining 5.8%. Processing time: 2.1 seconds per invoice average. Monthly infrastructure cost: $85 on a single t3.medium.

computer_vision 4 weeks

E-commerce marketplace — Visual QA at scale

Marketplace platform had 2 moderators reviewing 5,000 daily image uploads. Custom CV model now auto-flags 89% of policy violations. Queue is manageable. Team focuses on edge cases.

89% auto_flag
$7.5k project_cost
4 week_build
full_breakdown() ↓

Stack: PyTorch, EfficientNet-B3, ONNX Runtime, FastAPI, AWS Lambda

Challenge: 5 QA rules (watermark detection, low resolution, prohibited content, aspect ratio, duplicate detection). Real-time scoring at upload time.

Result: 89.3% auto-flag rate with 3.1% false positive rate. Average inference: 120ms per image. Processing 5,000 images/day on a single Lambda concurrency of 5.

ml_analytics 3 weeks

B2B SaaS — Churn prediction reduced attrition by 23%

Client had 6,000 users but no visibility into who was leaving. We built a churn model with SHAP explanations. CS team now gets weekly "at-risk" list with reasons. Retention campaigns are targeted, not broadcast.

-23% churn_rate
$6.2k project_cost
3 week_build
full_breakdown() ↓

Stack: Python, XGBoost, SHAP, React dashboard, Airflow

Challenge: 18 months of usage data, 120 features, no labeled churn events (had to infer from 90-day inactivity).

Result: AUC 0.82 on held-out test set. Top 3 churn drivers identified per user. Weekly "at-risk" report sent to CS team via Slack. 23% reduction in monthly churn within 8 weeks of deployment.

11

Compare tiers

Express
$650// 2 working days
Tier 1
$1,800// fixed scope
recommended
Tier 2
$6,200// fixed scope
Tier 3
$12,800// fixed scope
Deliverable type
Benchmark report
Audit report
Production system
Full suite + UI
Source code
—
—
✓ MIT license
✓ MIT license
Self-hosted
—
—
✓ Yes
✓ Yes
REST API
—
—
✓ Included
✓ Included
Confidence scoring
—
—
✓ Per-field
✓ Per-field
Multi-document type
—
—
1 type
Up to 5 types
ML classifier
—
—
—
✓ Fine-tuned
Admin dashboard
—
—
—
✓ React UI
Monitoring
—
—
—
✓ Grafana
Documentation
2-page PDF
30-page PDF
Full docs + API
Full docs + API
Post-handoff support
—
—
30 days
60 days
Audit credit applied
—
✓
✓
✓
request →
book audit →
start mvp →
discuss build →
Express
$900// 3 working days
Tier 1
$2,500// fixed scope
recommended
Tier 2
$7,500// fixed scope
Tier 3
$13,500// fixed scope
Deliverable type
Visual assessment
Working prototype
Production pipeline
Custom model + pipeline
Source code
—
—
✓ MIT license
✓ MIT license
Self-hosted
—
—
✓ Yes
✓ Yes
REST API
—
—
✓ Included
✓ Included
QA rules / classes
—
—
Up to 5
Custom
Webhook integration
—
—
✓ 3 endpoints
✓ 3 endpoints
Custom model
—
—
Off-the-shelf
✓ Fine-tuned
Annotation tooling
—
—
✓ Included
✓ Full pipeline
Edge deployment
—
—
—
✓ ONNX export
Documentation
3-page PDF
20-page report
Full docs + API
Full docs + API
Post-handoff support
—
—
30 days
60 days
Audit credit applied
—
✓
✓
✓
request →
book audit →
start mvp →
discuss build →
Express
$650// 2 working days
Tier 1
$1,800// fixed scope
recommended
Tier 2
$6,200// fixed scope
Tier 3
$12,800// fixed scope
Deliverable type
Data snapshot
Insight report
Production model
Full analytics suite
Source code
—
—
✓ MIT license
✓ MIT license
Self-hosted
—
—
✓ Yes
✓ Yes
ML model
—
—
✓ Churn model
✓ 3 models
SHAP explanations
—
—
✓ Per-user
✓ Per-user
Dashboard
—
—
✓ React UI
✓ Unified UI
Automated reports
—
—
—
✓ Weekly emails
Drift detection
—
—
—
✓ Grafana
Documentation
5-page PDF
35-page PDF
Full docs + API
Full docs + API
Post-handoff support
—
—
30 days
60 days
Audit credit applied
—
✓
✓
✓
request →
book audit →
start mvp →
discuss build →
12

When does it pay back?

Most clients break even in 2–4 months. Here's the math.

documents / images / users
hours
Estimated project cost $6,200
Monthly savings (labor + automation) $5,200
Payback period 1.2 months
Annual savings (after payback) $62,400
// assumptions

• Assumes Tier 2 build for selected vertical (OCR: $6,200, CV: $7,500, Churn: $6,200)

• 90% automation rate (10% edge cases still require human review)

• Infrastructure costs excluded (typically $50–200/mo for these volumes)

• Actual results vary by data quality and use case complexity

13

Get a rough estimate

Not a quote — just a ballpark based on similar projects.

01 02 03 04

What do you need?

What's the scope?

How complex?

Ballpark estimate

Estimated range $6,200 — $7,800
Timeline 3–4 weeks
Document Intelligence, Tier 2, Moderate complexity
book_audit_call() → This is not a quote. Final pricing depends on actual scope.
09

Frequently asked

Most consultancies survive on retainers — recurring revenue creates perverse incentives to deliver systems that need the consultancy to keep running.

We don't operate that way. Every package is designed so your team is fully self-sufficient after handoff. If you need help later, we're available on-demand: $250/hr engineering support, $1,200 for model retraining, or custom quotes for larger work. Pay once. Get help. Done.

Do I own the code after handoff? +

Yes. 100%.

You receive the full source code (MIT-licensed, transferred to your GitHub org), all trained models, training scripts, and complete documentation. The system runs on your infrastructure. We don't host anything. You're not locked into us.

How accurate will the model be? +

Depends on your data, but we set minimum accuracy targets:

  • OCR pipelines: ≥90% field-level accuracy on agreed sample set
  • Computer vision: ≥85% on validation set
  • Churn models: AUC ≥0.75

If we don't hit the target, we don't call it done. No bait-and-switch.

What's NOT included in the price? +

Hosting costs. You pay your own AWS/GCP bill. That's it.

We're upfront about scope: single document type vs multi-type, 5 QA rules vs custom model training, etc. The proposal states exactly what's included and what's not. No surprise invoices.

How long does a project take? +

Express packages: 2–5 days. Tier 2 builds: 3–4 weeks. Tier 3 systems: 6 weeks.

These are fixed timelines, not "it depends." We scope to fit. If your project is larger, we'll break it into phases or give you a custom quote with a clear timeline.

Do you work with startups or only enterprises? +

Both. Our sweet spot is mid-market SaaS — Series B to D, roughly.

Early-stage? Start with an Express package ($650–900) to validate the problem. Larger enterprise? We've built systems for teams processing 100k+ documents/month. Scope is scope.

What if the model accuracy degrades over time? +

We deliver retraining scripts that run on your infrastructure (cron, Airflow, GitHub Actions — whatever you use).

Monitoring dashboards alert you if accuracy drops. One-command retraining. You own the pipeline. If you want us to handle a retraining cycle, it's $1,200 fixed price — not a monthly retainer.

Can you integrate with our existing systems? +

Standard integrations: yes. Webhooks, REST APIs, S3/GCS storage, CRM exports — all included.

Deep integrations with proprietary internal systems? We'll scope it as custom work. Most clients find the standard webhooks + REST API sufficient.

10

Writing from the workshop

Technical posts about OCR, computer vision, ML analytics — and how we build systems that don't break after handoff.

2026-04-18 document intelligence

Why AWS Textract isn't enough for invoices

Commercial OCR APIs get you 70% of the way. The last 30% is where your data actually lives — line items, tax calculations, vendor-specific layouts. Here's how we bridge the gap.

read_post() →
2026-04-12 computer vision

Visual QA at 1000 images/minute

Generic vision APIs are slow and expensive. We built a custom CV pipeline that processes 1M images/day on a single GPU instance.

read_post() →
2026-04-05 ml analytics

Churn models that explain themselves

A churn score is useless if your CS team doesn't know what to do with it. We use SHAP values to give per-user explanations.

read_post() →
view_archives() →
14

Let's talk about your problem

No pitch deck. No discovery phase that never ends. Tell us what you're trying to solve and we'll tell you if we can help, how long it will take, and what it will cost.

// email consulting@ailayzer.tech
// response_time ~24 hours EU business days
// next_step 30-min audit call (free)
15

Book a 30-min audit call

Free. No sales pitch. We'll look at your problem and tell you if we can help, how long it will take, and what it will cost. You decide.

30 minutes
Free
No prep required
Actionable takeaways
// next step

Let's find out if we
can actually help.

30-minute audit call. No pitch, no pressure — just an honest look at your problem and whether we're the right team for it.

book_call() →
// emailconsulting@ailayzer.tech
// response~24 hours
// regionEU / Global
// engagements$650 – $13,500
// retainersnone