Suav Tech: Pioneering Next-Generation AI Evaluation
Our Vision & Mission
Our Vision: To be a globally recognized leader in advancing the science and practice of AI evaluation, empowering the development and deployment of AI systems that are demonstrably capable, safe, ethical, and beneficial for humanity.
Our Mission: Suav Tech is a research-driven firm dedicated to creating and implementing next-generation capability and safety evaluations for AI models, particularly frontier systems. We aim to provide profound insights into AI behavior, track the trajectory of AI progress, and equip organizations across sectors to select, develop, and deploy AI responsibly and effectively.
Core Focus: Bridging the Capability-Safety Divide
Suav Tech addresses the critical need to understand not only what AI models can achieve but also how they achieve it, and what potential risks might emerge from their advanced capabilities. Our evaluation methodologies encompass a broad spectrum, from functional performance to complex cognitive abilities like strategic reasoning, integrated with assessments of safety dimensions including robustness, bias, fairness, and transparency.
Flagship Benchmarks — Defining the Next Standard in AI Evaluation
1. 4X-Civ Benchmark: Strategic Mastery in a Living World
Suav Tech's 4X-Civ suite drops LLM-powered agents into 200 meticulously tuned Civilization VI scenarios (300-1500 turns, ≈ 8-20 h of expert play). Each game pressures models to balance long-horizon planning, multi-vector diplomacy, resource juggling and fast adaptation inside an open-ended, information-rich environment—revealing nuanced capability plateaus that static tests miss. A public leaderboard and auto-grading pipelines let labs track progress continuously while guarding against benchmark saturation.
What it unlocks
- True strategic reasoning metrics: quantify foresight, coalition-building and risk trade-offs.
- Rich failure signals: observe emergent behaviours—cooperation, betrayal, over-expansion—at human-relevant time-scales.
- Reusable testbed: endlessly variable maps and victory conditions keep the challenge fresh for the next wave of frontier models.
2. Novel-Domain Benchmark: The Frontier Knowledge Stress-Test
This benchmark tasks models with extending wholly new scientific and logical fields through 75-100 open-research problems that would each occupy an expert several days. Outputs are scored for logical coherence, gap-filling accuracy and hypothesis originality, providing an un-gameable measure of genuine knowledge creation and reasoning depth. Review time is kept practical (~2-3 h per submission) via semi-automated grading modules.
Why it matters
- Out-of-distribution rigor: eliminates training-set leakage and forces first-principles reasoning.
- Early-warning signal: tracks the moment models start generating ideas that rival human experts—critical for capability-risk forecasting.
- Actionable insights: fine-grained rubrics surface which scaffolding or retrieval tricks truly move the needle on creativity and rigour.
Together, these two complementary benchmarks give developers, policymakers and risk analysts a crystal-clear lens on where today's most powerful AI systems excel, where they stumble, and how fast they are improving—empowering safer, more accountable deployment across every high-stakes domain.
Targeted Evaluation Verticals
Beyond our flagship project, Suav Tech is developing specialized evaluation services for high-impact, risk-sensitive domains:
AI in Forecasting
Enhancing precision in financial, demand, and climate predictions, ensuring robustness against unforeseen events.
AI in International Governance
Assessing AI tools for policy analysis, conflict prediction, and global cooperation, focusing on ethical implications.
AI in Geospatial Intelligence
Evaluating AI for satellite imagery analysis and environmental monitoring, ensuring accuracy and reliability.
AI in Agriculture
Assessing AI for crop management and precision farming, focusing on sustainability and food security.
Our Key Differentiators
- Pioneering 4X Gaming Benchmarks: A unique, scientifically grounded approach for deep LLM evaluation.
- Holistic Evaluation Framework: Assessing advanced capabilities alongside critical safety and ethical parameters.
- India-Centric, Global Outlook: Leveraging India's AI talent while contributing to global safety standards.
- Multi-Vertical Specialization: Tailored frameworks for risk-sensitive sectors.