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Research & Development

IsaziLabs: Where Theory

Meets Practice

We build the AI systems that don't exist yet — designed to reach and exceed expert performance in specialized domains.

Advanced AI Research & Development

What We Do

Developing autonomous systems that can reason, plan, and execute complex multi-step workflows.

Uncertainty Quantification

Building AI systems that know what they don't know, providing calibrated confidence alongside predictions.

Agentic AI

Developing autonomous systems that can reason, plan, and execute complex multi-step workflows.

Automated Discovery

Creating systems that explore solution spaces and discover novel algorithms surpassing human-designed approaches.

Current projects

Research initiatives pushing the boundaries of what AI systems can achieve.

AccurateAI

AccurateAI

AccurateAI

Reliable AI inference you can trust.


AI companies generally don't guarantee accuracy, their SLAs talk about uptime, not correctness. AccurateAI changes this paradigm.


Through ensemble methods, calibration techniques, and conformal prediction, AccurateAI provides not just answers, but honest assessments of how much to trust those answers.


For high-stakes domains where being wrong has consequences.

XEvolve

XEvolve

XEvolve

Algorithms that discover algorithms.


XEvolve uses LLM-guided evolutionary synthesis to explore solution spaces and discover optimized algorithms for complex computational problems.


Unlike single-objective approaches, XEvolve maintains entire Pareto frontiers discovering the full spectrum of tradeoffs between competing objectives like accuracy vs. speed, or value-added vs. cost.


XEvolve's solutions emerge from systematic exploration rather than human intuition.


Discovering what humans cannot design.

AI Consultant

AI Consultant

AI Consultant

Augmenting human expertise with systematic research.


We're building tools that combine deep research capabilities with recursive agentic systems to dramatically accelerate idea generation and opportunity discovery.


The system synthesizes insights, identifies patterns, conducts autonomous deep research, and produces structured analyses complete with feasibility assessments and implementation approaches.


Turning weeks of analysis into days.

Specialized Superintelligence

Our Vision

Our north star is the creation of Specialized Superintelligent (SSIs) systems designed to achieve world-leading performance in narrow, high-value domains.


An SSI isn't a general-purpose assistant. It's a system designed to exceed human capability in specific domains.

Automate Complexity

Automate Complexity

Handle workflows that currently require deep human expertise.

Handle workflows that currently require deep human expertise.

Discover Novel Strategies

Discover Novel Strategies

Find solutions that surpass what human experts can devise.

Find solutions that surpass what human experts can devise.

Operate Reliably

Operate Reliably

Work in real-world conditions with appropriate uncertainty quantification.

Work in real-world conditions with appropriate uncertainty quantification.

We believe the path to transformative AI runs through specialization. Rather than chasing artificial general intelligence, we focus on building systems that are genuinely superhuman in specific domains.


Each SSI we build creates a deep, defensible technical moat. These aren't products that can be replicated by wrapping an API. They represent accumulated research, experimentation, and hard-won understanding.

Who We'd Be Excited to Hire

We're looking for people who share our obsession with building systems that actually work.

You might be right for Isazi Labs if:

You're drawn to problems where the solution isn't obvious — where you have to invent the approach
You have deep technical foundations in mathematics, statistics, or computer science
You find satisfaction in rigorous experimentation and systematic investigation
You're comfortable with uncertainty and failure as part of the research process
You care about building things that work in the real world, not just in controlled conditions
You can explain complex ideas simply, and prefer clarity over cleverness

We value:

PhD or equivalent depth in relevant fields (ML, statistics, optimization)
Experience with modern AI/ML systems (LLMs, deep learning, probabilistic methods)
Strong software engineering fundamentals — research that runs is better than research that doesn't
Intellectual honesty — the courage to admit when something isn't working