OCT 24, 2024
A Mathematical Framework for Transformer Circuits
We propose a mathematical framework for understanding the internal computations of transformer models, focusing on attention heads and their interactions.
Ideomatics builds web, mobile, and AI software that ships.
Ideomatics is a software development agency delivering custom web applications, mobile apps, automation, SEO, and consultancy across 65 specialized services. The Ideomatics AI practice covers LLM integration, RAG pipelines, alignment, interpretability, and safety evaluations.
The Ideomatics AI Practice
Interpretability
Understanding how complex models make decisions by reverse-engineering their internal representations and circuits.
Alignment
Developing techniques to ensure highly capable systems reliably behave according to intended human goals and values.
Policy & Safety
Creating robust frameworks and evaluations for the responsible deployment and governance of frontier AI models.
How does Ideomatics work?
Ideomatics runs a repeatable, evidence-driven loop — from surfacing latent failure modes through to shipping aligned, monitored behavior in production.
Step 01
Discovery
Identifying critical gaps in current models.
We map the failure surface where models hallucinate, drift, or surprise operators. Our team draws on telemetry, red-team probes, and stakeholder interviews. Every gap surfaces with evidence before we propose a fix.
- Behavioral telemetry analysis
- Stakeholder interviews
- Adversarial probing
Step 02
Hypothesis
Formulating testable theories for alignment.
Each gap becomes a falsifiable hypothesis about what's happening inside the model. We design experiments that can decisively confirm or rule out a mechanism before we invest in fixes.
- Mechanistic hypotheses
- Experiment design
- Pre-registered predictions
Step 03
Rigorous Testing
Evaluating models under extreme constraints.
We stress models against adversarial inputs, distribution shifts, and edge cases. Our evals measure accuracy, calibration, refusal behavior, and steerability — not just leaderboard scores.
- Adversarial evals
- Out-of-distribution suites
- Calibration measurement
Step 04
Alignment
Ensuring outputs match human values.
Findings flow into training-time and inference-time interventions. We apply RLHF refinements, constitutional rules, and latent steering vectors. Continuous production monitoring closes the loop.
- RLHF refinements
- Constitutional rules
- Production monitoring
Impact in Action
Featured
Acme Corporation · Enterprise SaaS
From 90-minute deploys to under 8 — without rebuilding the team.
From 90-minute deploys to under 8 — without rebuilding the team.
- Deploy speed
- 11×
- Annual savings
- $2.4M
- Uptime achieved
- 99.99%
Logistics
Northwind Trading · Mid-market
Cut warehouse-sync errors by 96% with event-driven inventory.
Cut warehouse-sync errors by 96% with event-driven inventory.
- Error reduction
- 96%
- Recovered revenue
- $1.1M
- Time to value
- 3 mo
Fintech
Initech Solutions · Series C
Slashed onboarding from 3 weeks to 36 hours.
Slashed onboarding from 3 weeks to 36 hours.
- New onboarding
- 36h
- Time saved
- −87%
- Engineers onboarded
- 412
Manufacturing
Wayne Enterprises · Fortune 500
Migrated 240 services to a single observability layer.
Migrated 240 services to a single observability layer.
- Services unified
- 240
- Migration time
- 4 mo
- MTTR improvement
- −54%
Healthcare
AdventureWorks Health · Regional
HIPAA-compliant data pipeline shipped in 6 weeks.
HIPAA-compliant data pipeline shipped in 6 weeks.
- Time to live
- 6 wk
- Audit pass rate
- 100%
- Records / day
- 2.1M
Media
Globex Media · Streaming platform
Survived a 14× traffic spike on launch day, no downtime.
Survived a 14× traffic spike on launch day, no downtime.
- Peak traffic
- 14×
- Outages
- 0
- Concurrent users
- 8.4M
Inside Ideomatics
Whiteboard session · Interpretability sprint
Code review · Alignment evals
Internal seminar · Constitutional AI
Lab kitchen · Friday demos
Working session · Reward model overoptimization
Late-night build · Steering vectors v3
Perspectives
View all
APR 28, 2026Engineering · Architecture
Building scalable microservices in 2026
A practical guide to distributed system patterns that hold up at scale, written from production experience across 40+ deployments.
APR 21, 2026Industry · Trends
Why edge computing is reshaping SaaS
Latency budgets are shrinking. Here's how the SaaS playbook is evolving to meet users at the edge — and what it means for infrastructure spend.
APR 14, 2026Customer story
Case study: 10× performance gains for Northwind
How a re-architecting around event streams cut Northwind's deployment cycle from 90 minutes to under 8 — and unlocked weekly releases.
What our clients say
Trusted by teams shipping aligned AI
“Ideomatics shipped what would have taken our team a quarter, in three weeks. The platform integrations alone paid for the engagement.”
Sarah Chen
VP Engineering · Acme Corporation
“Best decision we made this year. Their team became an extension of ours — same standards, faster execution.”
Marcus Johnson
CTO · Globex Industries
“We migrated 240 services to a unified observability layer without a single outage. That is the bar.”
Lucius Fox
CTO · Wayne Enterprises
“From kickoff to production in six weeks. Communication and craft were both top-tier.”
Priya Sharma
VP Product · Northwind Trading
Latest Publications
SEP 12, 2024
Constitutional AI: Harmlessness from AI Feedback
Training a harmless AI assistant through self-improvement, without any human labels identifying harmful outputs.
AUG 05, 2024
Scaling Laws for Reward Model Overoptimization
An empirical investigation into how optimizing against a learned reward model eventually degrades true preference.