
If your team needs clean data, Titan delivers finished structured datasets through managed pipelines, dataset subscriptions, real-time data feeds, and custom data acquisition workflows.
Tell us the sources, fields, refresh frequency, geography, and delivery format.
We collect, deduplicate, validate, enrich, and structure the data.
Data is delivered by API, S3, cloud warehouse, or custom delivery channel.
Move from one-time dataset to recurring feed, real-time firehose, or managed data acquisition program.
Validate our pipeline quality before moving to production scale.
Brief meeting with our engineers to define your data requirements and delivery targets.
Secure the 10 TB evaluation window and setup cloud delivery permissions (S3/GCS/Azure).
Receive your structured dataset and full technical support during the analysis phase.
Managed data acquisition is a fully custom service where Titan's team handles the entire pipeline from source discovery and collection through validation, enrichment, and delivery. You define the sources, fields, refresh frequency, and output format, and Titan builds and maintains the pipeline for you. The dataset marketplace offers ready-to-use structured datasets you can access immediately without a custom build. If you know exactly what data you need and want it fast, start with the marketplace. If your requirements are specific or ongoing, managed acquisition is the better fit.
Titan offers datasets across AI and LLM training data, e-commerce and retail including ecommerce product datasets and marketplace data, travel and hospitality including flight, hotel, and OTA data, financial data including stock signals and alternative web indicators, news and media monitoring, company and B2B contact data, real estate listings and rental market data, jobs and hiring intelligence, and institutional data including government and regulatory records.
Yes. Titan's managed data extraction service is built specifically for teams with custom requirements that off-the-shelf datasets cannot meet. You define the sources, data fields, geography, refresh frequency, and delivery format, and Titan builds, validates, and maintains the entire collection pipeline. This is one of the core custom dataset collection services Titan provides, and it includes dedicated implementation support from initial consultation through production delivery.
Every dataset goes through a multi-step quality process before delivery. Titan deduplicates, validates, enriches, and normalizes the data against your defined field schema. For large-scale deliveries, a full quality assurance report and inventory file are included so your team can verify completeness and accuracy before ingestion. This is especially important for AI training datasets where clean, structured inputs directly affect model quality.
As one of the leading AI data providers, Titan supplies AI and LLM training datasets including text and metadata, multimodal training data, large-scale video and audio collections, and custom web data pipelines for pretraining, fine-tuning, and RLHF workflows. Datasets are delivered as clean structured files ready for direct ingestion into training pipelines, with quality assurance reports included for every petabyte-scale delivery.
Titan's data feed management services work on a subscription model where Titan collects, structures, and delivers updated data on a recurring schedule you define. This is ideal for sources that change frequently, such as e-commerce pricing, inventory levels, news and media signals, and financial alternative data. As one of the leading real-time data feeds API providers, Titan delivers updates directly to your cloud storage, API endpoint, or data warehouse on a cadence that matches how fast your data changes.
Titan delivers datasets as JSON, CSV, Parquet, or custom formats aligned to your data warehouse schema. Supported destinations include AWS S3, Google Cloud Storage, Azure Blob Storage, direct API delivery, and webhook callbacks. For teams with existing pipelines, Titan can format outputs for direct ingestion into Snowflake, BigQuery, or similar platforms. Shopping data feed management service clients can also receive formatted product catalog feeds compatible with their existing systems.
Titan collects only publicly available data from public-facing URLs and does not collect or process personal user data. Residential IPs are sourced through an opt-in, consent-based node network where contributors voluntarily share bandwidth. No personal data is transmitted through the collection layer. Compliance documentation is available to enterprise partners on request, and Titan's team can work with your legal and procurement teams on specific requirements.
Dataset pricing varies by product type, volume, and delivery frequency. Ecommerce product datasets and managed data feeds start at $0.005 per product record for high-volume collection. Custom dataset pipelines are priced based on source complexity, collection frequency, and data volume. Titan operates on a consultative pricing model for enterprise engagements, typically beginning with a pilot period before moving to a production contract. Contact the team to receive a scoped quote based on your specific requirements.
Request a dataset sample, scope a managed feed, or browse marketplace options.