Layer 01
Inputs
Flow step
- Raw unstructured data
- User prompts
- System logs
- API parameters
Powering Frontier AI with Imperative Data.
Accelerate foundation model development with expert-curated datasets engineered for complex reasoning and agentic workflows. We source the human intelligence that synthetic data cannot replicate.
Trusted by: Y Combinator Backed AI Labs • Frontier Foundation Model Developers • Enterprise NLP Teams • Stealth Generative AI StartupsTrusted by: Y Combinator Backed AI Labs • Frontier Foundation Model Developers • Enterprise NLP Teams • Stealth Generative AI Startups
Delivering proprietary data for Y-Combinator backed labs and stealth foundation models. Formatted natively for:
The Synthetic Wall
Foundation models have hit the "Synthetic Wall."
Raw compute and scraped web data built the baseline. But scaling parameters is no longer enough to cross the threshold into true autonomous reasoning.
Relying purely on synthetic data loops inevitably leads to model collapse. The next generation of AI isn't bottlenecked by the availability of GPUs—it's bottlenecked by the absence of high-fidelity, human-verified logic.
To train frontier intelligence, you need frontier human data.
What we deliver
Core Capabilities
Agentic Workflow Traces
We deliver high-volume, keystroke-level telemetry captured via custom IDEs. Train sophisticated software agents using comprehensive execution traces that document file navigation, terminal commands, and developer thought processes.
RLHF & Alignment
Shape foundation model behavior with custom reward modeling. We utilize nuanced human preference judgments to ensure AI safety, complex instruction following, and strict adherence to enterprise logic.
SFT & Reasoning
Surpass benchmark plateaus. We provide rigorously verified data structures, algorithmic challenges, and system design reasoning paths crafted step-by-step by elite software engineers.
Simulation & RL Environments
Ship models with confidence. We supply highly secure, dockerized repositories equipped with robust testing harnesses for repository-wide code evaluation and agent verification.
Additional capabilities
Multi‑Modal Annotations
High-fidelity labeling across text, code, images, and video for complex evaluation and training regimes.
Code‑Gen & Debugging
Curated datasets that teach models to write, analyze, and repair production-grade software systems.
Domain‑Specific SFT
Custom supervised fine‑tuning for specialized domains like finance, healthcare, legal, and enterprise SaaS.
Advanced Reasoning
Multi-step logical reasoning tracks and hard problem sets that push models beyond benchmark plateaus.
Multi‑Turn Conversation
Dialogue workflows that test memory, safety, style, and persona consistency across long-horizon chats.
Text‑to‑SQL & Structured I/O
Paired natural language and structured outputs for BI copilots, analytics agents, and data workflows.
RAG Training & Eval
Human‑verified retrieval traces and judgments to tune and benchmark retrieval‑augmented generation stacks.
Model Evaluation
Human‑in‑the‑loop eval suites that measure correctness, safety, latency trade‑offs, and production fitness.
Indic & Multilingual Workflows
Evaluation and training data for Indic languages and other under‑resourced locales your models must support.
Customization layers
Configure your AI stack layer by layer.
From raw inputs to specialized domain expertise, control every aspect of your model's behavior with precision. Each layer can be composed independently or deployed as an end‑to‑end stack.
Layer 02
Domains
Flow step
- Healthcare & pharma
- Financial services
- Legal documents
- Retail & e‑commerce
Layer 03
Expertise
Flow step
- Fine‑tuning
- Prompt engineering
- RLHF training
- Knowledge graphs
Layer 04
Use cases
Flow step
- Conversational agents
- Predictive analytics
- Content generation
- Code synthesis
Beyond Crowdsourcing
The Human Difference
Intelligence cannot be crowdsourced. It must be engineered.
Legacy data platforms rely on lowest-common-denominator consensus from global click-farms. But training foundation models for complex logic, system design, and AI safety requires deep domain expertise, not just sheer volume.
We orchestrate elite teams of specialized professionals—from senior software engineers to specialized researchers. By utilizing bounty-based incentives and rigorous, multi-tiered QA pipelines, we guarantee empirical accuracy and nuanced reasoning.
- Elite Vetting: Only the top 1% of applicants pass our technical benchmarking.
- Bounty-Based Incentives: Aligning compensation with complex problem-solving, not hourly metrics.
- Embedded QA: Multi-step verification natively integrated into the annotation workflow.
Enterprise certifications
Compliance infrastructure built into delivery.
Transparency engineered into every engagement, with controls designed for enterprise procurement, privacy expectations, and sensitive model development workflows.
Audited
SOC 2 Type II
Rigorous independent auditing of our security, availability, and processing integrity controls.
Certified
ISO 27001
Information security management designed to meet global expectations for risk controls and operational discipline.
Compliant
GDPR
Strict adherence to European Union data protection and privacy expectations for handling user and project data.
Certified
HIPAA
Operational safeguards for protected health information workflows where healthcare privacy and confidentiality matter.
Zero Friction Integration
Native formatting for the frontier stack.
We don't just deliver data; we deliver pipeline-ready assets. Datasets arrive strictly formatted to your schema—whether you are orchestrating with Ray, fine-tuning via Mosaic ML, or pulling directly into standard Hugging Face dataset loaders.
The team behind the data
Operating layer for Klarve's frontier data engine.
A lean founding team combining institutional ops, product, and deep engineering experience—responsible for how Klarve sources, vets, and ships institutional‑grade datasets.
Aryan Honawar
CEO & Co‑Founder
Visionary leader driving AI innovation and data excellence.
aryanhonawar@klarve.aiCore team
Nabeel
COO & Co‑Founder
Operations expert ensuring seamless delivery and scalability.
nabeel@klarve.aiCore team
Eshu
CTO
Founding technical leader architecting Klarve’s frontier data and infrastructure stack.
eshu@klarve.aiCore team
Ready to train past the plateau?
Stop gating your foundation model's potential with commoditized crowdsourcing. Let's architect a custom data pipeline tailored to your exact evaluation benchmarks.