Case Studies

Proof of work.

Real projects. Real results. Every engagement is deployed to production — not a slide deck.

SaaS Replacement$0/mo vendor spend

Internal Tools

Arkitekt's Own CRM

We needed a CRM. Instead of buying one, Arkitekt built one — full kanban pipeline, AI-drafted email, Mailgun campaigns and drip sequences, auto-dialer with inbound and outbound calls, and GenAI call transcription and analytics. Now it runs our sales floor.

$0/mo
Vendor Spend
Kanban + Table
Pipeline
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SaaS ReplacementManual clicking → automated

Marketing Services

Webinar Marketing, Without the Manual Clicking

Tegra Design ran their clients' webinar programs by hand across Zoom, Gmail, and spreadsheets. We built them one platform: upload a lead list, run the email campaign, track acceptances, register attendees in Zoom, and send reminders — automatically.

Manual → Automated
Campaign Workflow
3+ → 1
Systems
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SaaS Replacement5+ data sources

Healthcare

Insurance Contracting Intelligence Platform

AI-powered network adequacy gap analysis for a prosthetics and orthotics supplier — data-driven evidence to negotiate in-network contracts with insurance payers.

5+ APIs
Data Sources
React + FastAPI + Qdrant
Stack
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SaaS ReplacementSub-second search

Mining Services

Document Intelligence Platform

Multi-tenant knowledge management platform for a mining services firm — semantic search across isolated client document vaults with enterprise-grade security and compliance tracking.

Enterprise
Architecture
Sub-second
Search
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SaaS Replacement15h → 30m per week

Professional Services

Job Intelligence Platform

Freelance consultant automation — LangGraph-powered workflow that monitors Upwork, scores opportunities with AI, and drafts proposals, cutting screening time from 15 hours to 30 minutes a week.

15h → 30m
Screening Time
70% noise cut
Quality Filter
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AI & ML79.4% model accuracy

Financial Services

Automated ML Pipeline

End-to-end fraud detection ML pipeline for a financial services firm — multi-model training, hyperparameter optimization, and automated ensembling, delivered before a regulatory deadline.

< 4 hrs
Delivery Time
79.4%
Model Accuracy
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AI & MLDefects caught pre-inspection

Manufacturing

Predictive Quality for Injection Molding

Machine learning on line-level IoT telemetry that predicts defect probability before parts reach inspection — and surfaces the parameter drift driving each call.

Pre-inspection
Prediction
Root-cause
Attribution
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AI & MLPer-SKU + portfolio, reconciled

Manufacturing & Distribution

SKU-Level Demand Forecasting at Portfolio Scale

Hierarchical forecasting that gives per-SKU accuracy and portfolio numbers finance and operations can both plan against — reconciled without spreadsheets.

Per-SKU
Granularity
Reconciled
Coherence
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AI & MLLogs → labeled failure data

Industrial Operations

Maintenance Log Intelligence

NLP over years of free-text maintenance records — turning the richest failure data in the building into a labeled dataset and a searchable knowledge base.

Free-text logs
Input
Labeled data
Output
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AI & MLScenario-based capacity

Manufacturing

Capacity & Build-Out Planning

Scenario modeling that turns demand forecasts into line-hours, tooling, and headcount across upside and downside cases — so capital decisions face the full range.

Demand-driven
Basis
Probabilistic
Output
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AI & MLGrounded, cited answers

Finance

Conversational AI for Financial Services

Retrieval-grounded conversational AI for regulated finance — it answers from your documentation, cites the source, and declines rather than guesses.

Cited
Grounding
Role-based
Access
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