Turn unstructured data into AI‑ready pipelines
Cut data prep time from months to days with automated ingestion, structuring, and validation—delivering high-quality, AI‑ready datasets.
Convert diverse data into AI‑ready intelligence
Move beyond data prep bottlenecks. Transform diverse sources into AI‑ready formats that drive accuracy, lower costs, and accelerate deployment.
Clear structure
Turn complex files into organized sections that AI models can learn from.
Consistent data
Ensure every dataset is labeled and formatted for AI comprehension.
Reduce noise
Filter irrelevant or redundant content so models focus on what matters.
Flexible inputs
Ingest unstructured PDFs, DOCX, Markdown, and JSON without conversion.
Adaptable data
Generate datasets tailored to different AI tasks, from fine-tuning to agents.
Trusted output
Validate every dataset to ensure accuracy, reliability, and trust at scale.
The fast path to trusted training data
Training data is the foundation of enterprise AI, but preparing it is costly and complex. SeekrFlow automates the process so you can start in days, not months.
Upload & organize
Ingest and structure data
Start by uploading your enterprise knowledge—PDFs, DOCX, Markdown, JSON, and other supported files. The Data Engine automatically ingests and structures this information, aligning it with your system prompt to ensure AI learns from relevant, business-specific knowledge rather than unorganized inputs.
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Refine & enhance
Optimize for AI learning
The Data Engine enriches and optimizes your dataset for clarity, consistency, and completeness. It restructures content into formats optimized for AI, including Q&A pairs that improve reasoning and retrieval. Noise and irrelevant data are filtered out, so models learn only from high-value signals.
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Validate & deploy
Deliver trusted, AI-ready data
Every dataset is validated through automated checks and human-in-the-loop review to ensure accuracy, reliability, and trust. The result: high-quality, AI-ready datasets that can be immediately deployed for fine-tuning, context-grounded fine-tuning, or powering intelligent agent workflows.
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Secure by design
With Seekr, your data remains yours. We never use it to train other models and give you full control to install our platform wherever your data resides. Our SOC 2 certification ensures best-in-class security, featuring fine-grained access controls and the flexibility to run on your preferred cloud or hardware.
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more accurate model responses
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more relevance in responses
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faster data preparation vs others
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cheaper costs vs traditional approaches
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minutes or less to build a production-grade LLM
Top enterprise and government leaders trust Seekr
“Seekr is setting a high bar for performant and efficient end-to-end AI development with its SeekrFlow platform, powered by AMD Instinct MI300X GPUs. We’re proud to work with Seekr as they showcase what’s possible using AMD Instinct GPUs on OCI’s AI enterprise infrastructure.”
Negin Oliver
CVP, Business Development – AI and Cloud at AMD
Latest insights
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FAQs
What files are supported?
The Data Engine ingests PDFs, DOCX, Markdown, JSON, JSONL, PPT, and Parquet, converting them into structured, AI-ready formats.
Are there size or quantity limits?
Up to 20 files per upload, each ≤ 150 MB. Larger or unsupported files are rejected before ingestion.
What is Accuracy-Optimized mode?
The default mode blends OCR, text extraction, table detection, and LLM agents to maximize fidelity. Large docs may take up to 30 minutes.
What is Speed-Optimized mode?
This mode balances quality and speed, completing in ~3 minutes. Smaller docs use high-accuracy methods; large ones use faster algorithms.
How is data structured?
Content is parsed with recursive summarization and hierarchy detection, then organized into sections and Q&A pairs.
What validation is performed?
Datasets undergo automated checks, hierarchy refinement, and optional human review to ensure accuracy and trust.
Accelerate your path to AI impact
Book a consultation with an AI expert. We’re here to help you speed up your time to AI ROI.
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