Local, external, or both
We combine on-premise models with external ones, and assign each task to the right one. News scanning can use an external model; analysing sensitive accounting data can run on a local model inside your infrastructure.
infermal is your one-stop contractor for AI and algorithmic software: design, frontend, backend, mobile and deployment. We put every task on the right mix of on-premise and external models, placed by data sensitivity, quality and cost. Private where it matters.
Built and running: Spreedox · IMPAX · StockWatch · fin4ward
What we specialize in
Frontier-grade results without sending sensitive data where it doesn't belong, or your budget to a token meter.
We combine on-premise models with external ones, and assign each task to the right one. News scanning can use an external model; analysing sensitive accounting data can run on a local model inside your infrastructure.
Routing, caching, distillation, quantization and a cheaper model wherever it does the job. We optimise cost against performance per project, instead of throwing prompts, loops and agents at the problem.
You decide which data may leave your boundary. We enforce it per task, with redaction, access control and audit trails, so sensitive extraction and analysis can stay on-prem.
We turn large, messy datasets into insight you can act on: data cleaning and pipelines, machine-learning forecasting, anomaly detection and relationship graphs.
Cost optimization
Running more prompts, loops and agents is the easy path, and the expensive one. We design a dedicated stack for each project, weighing cost against performance at every step.
Brute force
The infermal way
For example: scanning the web for news can run on an external model, while analysing a client's accounting data runs on a local, on-premise one. One system, with every task on the right model.
Who we work with
CEOs, CTOs, CPOs
Ship AI features and capabilities with sensitive data kept under your control, and without blowing the inference budget.
Discuss your roadmap →Founders & entrepreneurs
From concept to a working MVP with data sensitivity designed in, built by a team that has shipped AI products to production.
Pitch your idea →How we work
One team designs and codes the whole product: frontend, backend and mobile. Production-grade quality, delivered end to end.
We learn your product, data and constraints in a 30-minute conversation.
A stack designed around your privacy needs, with cost and risk mapped up front.
We build, measure quality and cost against targets, and iterate.
On your infrastructure, documented, with your team in control.
Proof of work
Our own products are the proof. Explore the live ones, or ask us about the private builds, like Spreedox, our self-hosted reference.
Financial-document intelligence
Self-hosted financial-document intelligence — turns raw filings into sourced facts, metrics and an analyst you can chat with, from pre-lending screening to investment-committee prep.
AI stock picks & paper-trading
AI-driven stock picks and paper-trading — test strategies and track an AI-managed portfolio, risk-free, on real US & TASE market data.
Sector influence graph
An LLM-built, web-verified influence graph of the 11 GICS sectors — trace how a news event in one sector cascades through the rest, and what it means for the specific stocks you track.
Precision risk intelligence
Precision risk intelligence for modern lending — continuous, AI-powered credit-risk evaluation across the full loan lifecycle, from screening to portfolio monitoring.
Autonomous marketing agent
An autonomous marketing agent that creates ad & image creatives, runs them across Instagram, TikTok and X, and learns what converts to optimise creatives and budget.
Start a project
Book a 30-minute call, or send us a few lines and we’ll get back to you. We sign an NDA on request.