We exist to end AI overspend
Enterprise teams are burning millions on LLM costs without knowing if they're buying the right quality for their use case. BlanEval was built to fix that , with hard data, not guesswork.
40%+
Average cost reduction
50+
AI agents benchmarked
$200k+
Annual savings per enterprise
3
Core workload domains
The AI cost crisis no one talks about
Enterprise AI teams are typically spending between $15,000 and $20,000 per month on LLM APIs , often routing workloads to flagship models because benchmarks say so, or simply because it's what they started with.
The problem isn't the models. It's the mismatch. A $20/M-token model might outperform a $3/M-token model on creative tasks , and lose badly on structured extraction. Without workload-specific evaluation, teams have no way to know.
We built BlanEval to give enterprise teams a systematic way to benchmark models against their actual production workloads, surface cost-quality tradeoffs, and make confident decisions about which AI to run where.
Before BlanEval
- ✕Flagship model used for all workloads by default
- ✕No systematic quality benchmarking per use case
- ✕$15k–$20k/mo spend with unclear ROI
- ✕Model decisions driven by vendor demos
After BlanEval
- ✓Right-fit model matched to each workload
- ✓Continuous benchmarking against real tasks
- ✓40%+ cost reduction with equal or better quality
- ✓Data-backed decisions your team can defend
Our Principles
The ideas that drive every evaluation we run and every decision we make.
Cost Intelligence, Not Just Quality
Evaluation without cost context is incomplete. Every benchmark we run surfaces the actual spend implication , so teams can optimize for quality per dollar, not quality in isolation.
Right Model, Right Workload
GPT-5 isn't always the answer. We believe every enterprise workload deserves a purpose-fit model , validated by hard data, not vendor marketing.
Evaluation-First Engineering
Just as software teams adopted test-driven development, AI teams need evaluation-first workflows. Define success metrics before you select a model.
Transparency at Every Layer
No black boxes. Every comparison is reproducible, every score explainable , to your team, your auditors, and your stakeholders.
From consulting war rooms to an enterprise product
BlanEval was founded in 2024 by a team of engineers and business leaders who spent years inside large enterprises implementing AI systems , and watching the same painful patterns repeat.
Teams would deploy an LLM-powered product, celebrate the launch, and then slowly discover the model was costing more than projected , or underperforming on edge cases that internal demos never caught.
The root cause was always the same: no systematic evaluation framework. Model selection decisions were made on vibes, vendor benchmarks, or inertia. Nobody knew how GPT-4o compared to Gemini Pro on their specific extraction pipeline , until the quarterly cloud bill arrived.
We built BlanEval to solve exactly that problem , starting with the enterprise teams we knew best, and expanding to cover the full spectrum of production AI workloads. Today, we help enterprises reduce LLM spend by 40%+ while maintaining or improving the quality that matters to their users.
Built by people who've been in your shoes
Combined decades of experience in enterprise AI, product development, and commercial scale-up.
Jan Adamek
Co-founder & CEO
Jan is a former AI Platform lead at a Big 4 consulting firm. With 8 years of experience building evaluation systems for production AI, he brings deep expertise in quality assurance and compliance. He's driven by a mission to make rigorous AI evaluation accessible to every team.
Pavel Předota
Co-founder & CTO
Pavel is a tech-first leader who speaks the language of business. For 15 years, he has led teams with a mix of pragmatism and idealism to deliver real results. He's fuelled by curiosity, always hunting for innovations to solve the next big challenge.
Radek Stejskal
Co-founder & Commercial Director
Radek is a leader and tech entrepreneur with 11 years of experience working with global brands and startups. His passion is building impactful products, healthy relationships and high-performing, collaborative and happy teams.
Pavel Racz
Co-founder & Product Development
Pavel is a quality auditor and AI evaluation expert. With deep experience in product development and rigorous testing methodologies, he ensures BlanEval delivers reliable, high-quality evaluation tools that teams can trust for their most critical AI systems.
Ready to stop overpaying?
Book a free ecosystem assessment. We'll benchmark your workloads, map cost-quality tradeoffs, and deliver a concrete optimization roadmap in 2 weeks.