AI-Powered
From messy data to production-grade models — we build ML systems, intelligent chatbots, and analytics pipelines that make your business smarter. Not just deployed. Proven.
35+
AI projects
92%
Model accuracy
4.5x
Avg. ROI
60%
Process automation
Problems we solve
If any of these sound familiar, we've solved them before — with measurable results.
Data Sitting Unused
Tons of data collected — zero decisions made from it. It lives in spreadsheets, databases, and S3 buckets going nowhere.
Everything Is Manual
Your team manually reviews, classifies, or processes things a well-trained model could handle in milliseconds.
AI Hype, No ROI
You tried an AI initiative. It produced a demo that impressed nobody and quietly got shelved. Sound familiar?
Data Lives in Silos
Reports take days to compile. Systems don't talk to each other. Decisions are made on gut feel because the data isn't ready.
Our Services
AI & Data Solutions
Choose the service that fits your needs, or talk to us to get a recommendation.
Industries
Domain expertise across 6 verticals
We've deployed AI in production across these sectors — fewer unknowns, faster results for you.
E-commerce
Personalization at scale
Drive revenue with recommendation engines, dynamic pricing, and demand forecasting — all trained on your actual transaction history.
Example solution
Real-time product recommendation engine for a 2M-SKU catalog — reduced cart abandonment by 28%.
35%
avg. revenue lift
Why Ethersofts
Why clients choose us
99.9%
uptime SLA
Production-Grade AI
Every model runs in production with monitoring, retraining, and fallback logic.
ROI-Focused
Every project starts with a measurable business outcome.
4.5x
average ROI across AI projects
Data Engineering First
We fix data infrastructure before building models. AI is only as good as the data.
LLM Expertise
RAG systems, fine-tuning, prompt engineering with OpenAI, Anthropic, and open-source.
Technologies we use
Questions we get all the time
If yours is not here, reach out. We respond within 24 hours with a real answer from an engineer — not a sales pitch.
Depends on the task. Some problems work with hundreds of labeled examples; others need millions. We assess data readiness first and often help you collect or augment what you have before committing to a model.
Yes. We integrate with databases, data warehouses, APIs, and CSV exports. We also help modernize infrastructure where it's holding back AI adoption.
Proof of concept in 2–4 weeks. Production deployment in 6–12 weeks. We validate fast before committing to full-scale build.
We define accuracy targets before starting and use held-out validation sets to test honestly. If performance targets aren't met, we iterate — or tell you upfront if the problem isn't solvable with the available data.
Most engagements start with a fixed-scope proof of concept in the $8k–$20k range, with full production builds typically $25k–$80k depending on data complexity, model type, and integration work. We scope every project with a fixed quote after a free discovery call — no open-ended hourly billing.
Yes. Alongside classical ML and analytics, we build LLM-powered chatbots, RAG systems, and AI integrations using OpenAI, Claude (Anthropic), and open-source models like Llama 3. We default to Claude for long-document and support use cases, but pick the model per task based on latency, cost, and privacy needs.
Yes. We encrypt data in transit and at rest, enforce role-based access, and can run models inside your own cloud or on-premise so nothing leaves your environment. For regulated work we align to GDPR, HIPAA, and SOC 2 controls and sign NDAs before any data is shared.
“They built our SaaS from scratch — auth, billing, dashboards, the works. Running 14 months with 99.97% uptime. When we needed features, the code was so clean changes were fast.”
James Morton
CEO · Docket Analytics · Vancouver, Canada
Ready to build AI
that actually works?
Tell us what you need. We respond within 24 hours with a clear plan — no sales pressure, no fluff.
