Resolvd vs Snorkel: Which is better?

Resolvd is an AI-powered incident management platform designed to streamline and optimize the incident response process. It offers automated incident response capabilities, including root cause analysis, data aggregation, and dynamic runbook creation. Resolvd is built by engineers and aims to reduce the time spent on incident response by correlating connected events across data sources, accelerating investigations, and minimizing alert noise. This enables engineers to resolve issues faster.One of the key features of Resolvd is its ability to reduce manual log review by 80%. It provides automated insights that allow developers to focus on the actual problem rather than spending time digging through data. It connects alerts with relevant logs, metrics, documents, and communication data to provide responders with a unified view. Moreover, Resolvd integrates with existing systems like Slack, Jira, and PagerDuty, delivering log insights in the workflow when needed.Overall, Resolvd aims to supercharge incident response by leveraging AI technology to optimize processes, enhance collaboration, and improve the efficiency of incident resolution.

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Snorkel

The data-centric AI platform powered by programmatic labeling and foundation models. Snorkel AI makes AI development fast and practical by transforming manual AI development processes into programmatic solutions. Snorkel AI enables enterprises to develop AI that works for their unique workloads using their proprietary data and knowledge 10-100x faster.

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Key features

Resolvd

Rebates on Autopilot: Automates the recovery of rebates by reading contracts, tracking thresholds, and sending claims to vendors.
Contract Compliance: Continuously checks invoices against active contracts to flag off-contract purchases and rate mismatches in real time.
AP Automation: Manages the invoice-to-pay process, handling three-way matches and escalating only necessary exceptions.
Purchased Services Management: In development to validate invoices and manage workflows for the largest supply chain category not actively audited.
Shared Platform Foundation: All digital workers utilize a common set of components for contract understanding, vendor communication, and ERP integration, allowing for quick deployment of additional workers.

Snorkel

Expert-Curated Datasets: Provides specialized, research-led datasets tailored for frontier AI applications, addressing complex tasks and domain-specific challenges.

Resolvd vs Snorkel: Which is better?

Key features

Resolvd

Rebates on Autopilot: Automates the recovery of rebates by reading contracts, tracking thresholds, and sending claims to vendors.
Contract Compliance: Continuously checks invoices against active contracts to flag off-contract purchases and rate mismatches in real time.
AP Automation: Manages the invoice-to-pay process, handling three-way matches and escalating only necessary exceptions.
Purchased Services Management: In development to validate invoices and manage workflows for the largest supply chain category not actively audited.
Shared Platform Foundation: All digital workers utilize a common set of components for contract understanding, vendor communication, and ERP integration, allowing for quick deployment of additional workers.

Snorkel

Expert-Curated Datasets: Provides specialized, research-led datasets tailored for frontier AI applications, addressing complex tasks and domain-specific challenges.

Useful for

Resolvd

Automates the recovery of missed rebates and ensures contract compliance, directly impacting financial performance.
Reduces the administrative burden on supply chain teams, allowing them to focus on strategic initiatives rather than manual reconciliation tasks.
Provides real-time monitoring and alerts for contract discrepancies, preventing financial leakage before it occurs.
Offers a zero-risk engagement model with a free rebate audit, demonstrating value without upfront commitments.
Integrates seamlessly with existing ERP systems, streamlining processes and enhancing operational efficiency.

Snorkel

Provides expert-curated datasets specifically designed for frontier AI, addressing complex and specialized tasks that generic data cannot cover.
Enables the development of custom AI systems tailored to specific enterprise workflows, ensuring higher ROI and performance standards.
Facilitates rigorous evaluation of AI models through benchmarks that reflect real-world scenarios, enhancing model reliability and accuracy.
Offers a systematic approach to data development, including calibrated expert reviews and programmatic checks, which improves data quality and model training.
Supports continuous improvement of AI systems by identifying failure modes and refining datasets and evaluation criteria based on performance feedback.

Use cases

Resolvd

Rebate Recovery: Automates the identification and collection of missed rebates, ensuring all eligible rebates are claimed and credited back to the hospital's accounts.
Contract Compliance Monitoring: Continuously checks invoices against active contracts to flag off-contract purchases and rate mismatches in real-time, preventing financial leakage.
Accounts Payable Automation: Streamlines the invoice-to-pay process by automating the three-way match and handling exceptions, reducing manual workload and errors.
Purchased Services Management: Validates invoices and manages renegotiation workflows for purchased services, a significant but often overlooked category in hospital supply chains.
Free Rebate Audit: Offers a no-risk initial audit of rebate data to demonstrate potential recoverable savings without requiring integration or upfront commitment.

Snorkel

Development of expert-curated datasets for training frontier AI models in specialized domains, such as coding and financial reasoning.
Creation of custom AI agents tailored to specific enterprise workflows, evaluated against real-world performance criteria.
Implementation of benchmarks for evaluating AI models on complex tasks requiring multi-step reasoning and tool use.
Provision of data-centric AI services to enhance model accuracy and speed up deployment in various industries.
Collaboration with organizations to improve AI capabilities through research-backed methodologies and expert input.

Price

Resolvd

Free rebate audit: A no-risk engagement lasting three weeks, with contingency on recovered amounts.
Continuous monitoring: After the initial audit, clients can opt for ongoing services based on a flat software fee.
Digital workers: Each worker is deployed individually, allowing clients to prove value before adding more.
No upfront integration costs: Initial engagements do not require platform commitment or IT projects.
Pricing based on recovery: Clients pay based on the actual dollars recovered, not theoretical savings.

Snorkel

Snorkel offers two main data development options: the Snorkel Data Series, which provides curriculum-structured datasets, and custom data development tailored to specific needs.
The Snorkel Data Series includes expert-curated datasets designed for various task areas, complete with rubrics and evaluation slices.
Custom data development engagements focus on creating bespoke datasets and evaluation environments to address specific model failure surfaces.
Pricing details for the plans are not explicitly mentioned in the provided text.
Interested users are encouraged to talk to a data researcher or strategist for more information on services and potential costs.