Sterrasol.ai delivers high-quality training data, annotation pipelines, and generative AI solutions so your models learn faster, perform better, and scale confidently.
From raw data collection to production-ready model alignment — every capability purpose-built for modern AI development.
Precision labeling for images, text, video, audio, and 3D point clouds. Our expert annotators and multi-pass QA deliver accuracy your models can trust.
Custom LLM fine-tuning, RAG pipelines, and prompt engineering for enterprise applications. We build AI products that solve real business problems at scale.
Large-scale structured and unstructured data acquisition across the web, proprietary sources, and human contributors — curated for diversity and quality.
End-to-end ML model development, training infrastructure, and MLOps. From prototype to production deployment on cloud or on-premise environments.
Reinforcement Learning from Human Feedback pipelines with expert evaluators. SFT demonstrations, reward modeling, and red teaming for safer, smarter models.
Independent benchmarking, hallucination detection, bias audits, and regulatory compliance checks to ensure your AI systems meet the highest standards.
We're not a generic outsourcing firm. We're an AI-native company that lives and breathes the data needs of cutting-edge model development.
Multi-pass quality review, consensus validation, and specialist reviewer pools ensure your data is reliable enough to train production models without rework.
Native-speaker annotators across 24+ languages and dialects so your models understand real-world linguistic diversity, not just high-resource Western languages.
Our automation-augmented pipelines and large vetted workforce ramp up in days, not months — so your training timelines don't slip due to data bottlenecks.
SOC 2 Type II aligned practices, strict NDA coverage for all contributors, and air-gapped environments for sensitive projects keep your IP protected at every stage.
Whether you're training a frontier foundation model or deploying a domain-specific enterprise AI, we have a purpose-built solution.
Training the next generation of LLMs and multimodal models demands data that's diverse, high-quality, and carefully curated. We provide instruction-tuning datasets, chain-of-thought reasoning traces, RLHF preference data, and adversarial red-teaming sets to push your model to its capability frontier.
Start with a pilot dataset of 10K examples and scale to millions without losing quality. Our infrastructure adapts to your model release calendar, not the other way around.
We audit your model's gaps using benchmarks and align on data types, volumes, formats, and quality thresholds.
Expert contributors are matched by domain expertise, language, and task type — not just availability.
A calibration batch lets us tune guidelines, measure inter-annotator agreement, and validate quality before full ramp.
Production ramps to full volume with automated consistency checks, senior reviewer audits, and real-time dashboards.
Data is delivered in your preferred format with full lineage documentation. We iterate alongside your training cycles.
"Sterrasol.ai turned our vague data requirements into a precise, scalable pipeline within two weeks. Our model benchmarks improved significantly after using their RLHF datasets."
"The quality controls they have in place are unlike any vendor we've worked with. When we needed multilingual annotation at scale, they delivered without a dip in accuracy."
"What sets Sterrasol.ai apart is their deep understanding of the ML training loop. They're not just annotators — they're genuine AI development partners."
Let's talk about your data needs. Whether you're training a new model or improving an existing one, we're ready to help.
Whether you're seeking information about our services, require assistance, or want to discuss your AI data requirements — we'd love to hear from you.
Unit No 1007, Vasavi Shalom Sky City
Gachibowli, Hyderabad
Telangana – 500032, India