Products

Bid Banana is a user-friendly, subscription-based RFP (Request for Proposal) search engine developed by The Bid Lab. It aggregates thousands of open local, state, and federal RFPs and solicitations, helping small-to-medium businesses find, filter, and save relevant contract, grant, and funding opportunities. Organizations can also research previously closed bids and awarded contract data.

Boost your customer service to the next! With Text.ai, organizations can instantly resolve common cases, predict and prioritize tickets, and help agents with relevant knowledge. Start scaling and automating your service so agents can focus on what matters most: the customer. The foundation of our technology is built on state-of-the-art research in multilingual NLP, augmented by our own internal research. Our multilingual core works in more than 100 languages and flawlessly manages even the mo

Decrypt Compliance is a Silicon Valley cybersecurity audit firm built to help cloud-native startups prove their cybersecurity and grow revenue using frameworks like SOC 2, ISO 27001, and more. We believe trust is a social good. At Decrypt, our mission is serve you as the independent assessor to genuinely earn customer confidence, demonstrate your security commitments, and unlock growth - not just check a box. Decrypt Compliance is a licensed CPA firm in the state of California. California CPA

Arphie uses AI (artificial intelligence) with human intelligence to accelerate and improve the process of completing RFPs, RFIs, Security Questionnaires, and more. Instead of spending countless hours writing first drafts to responses, organizing and updating the knowledge base, or other tedious tasks, Arphie frees up your team's time to drive revenue and sales in other ways. Using the latest cutting-edge, patent-pending research in AI and Retrieval Augmented Generation (RAG) techniques, Arphie

DianaHR is a YC-backed, human + AI-powered HR partner built for startups and growing businesses. Instead of just providing HR software, DianaHR pairs every company with a dedicated HR specialist who manages onboarding, payroll, benefits administration, state registrations, compliance, and back-office tasks directly inside the tools teams already use (like Gusto, Rippling, and Deel). With transparent pricing and systematic approach, DianaHR gives founders and operations leaders back 20+ hours per

Alternative Payments is a B2B sales enablement solution delivering flexible payment solutions to your end-customers to drive revenue growth by increasing average contract values and decreasing the sales cycle. We work within the construct of a companies existing workflows and can be integrated within minutes. Companies can use Alternative Payments for every customer or just a handful who wish to have flexible payment solutions.

AppViewX is an advanced automation and orchestration platform providing end-to-end provisioning and self-servicing capabilities across Layer 4 to Layer 7 network components. With its range of products, ADC+, Cert+, Firewall+ and Automation+, it offers multi-vendor support and state-of-the-art management capabilities that maps to the evolving needs of application owners, network engineers and network operations.

Book Keeper is a comprehensive accounting and inventory management application designed for small and medium-sized businesses. It simplifies financial management by offering an intuitive interface that requires no prior accounting knowledge. The app is compatible across Android, iOS, and Windows devices, ensuring seamless data synchronization and accessibility. Key Features and Functionality: - Invoicing and Estimates: Create and send professional, customizable invoices and estimates directly

The Asthma Disease State Predictor is a cloud-based predictive modeling system designed to enhance the early detection and management of asthma. By leveraging advanced machine learning algorithms and real-time data analysis, this tool aims to predict asthma exacerbations, thereby improving patient outcomes and reducing emergency interventions. Key Features and Functionality: - Predictive Modeling: Utilizes machine learning techniques to analyze patient data and predict potential asthma exacerb

The Anemia Disease State Predictor is an advanced analytical tool designed to assist healthcare providers in identifying and managing anemia within patient populations. By leveraging comprehensive data analysis, this tool enables early detection of anemia, facilitating timely interventions and improved patient outcomes. Key Features and Functionality: - Comprehensive Data Integration: Aggregates and analyzes diverse patient data to identify patterns indicative of anemia. - Predictive Analytic

The "Acquired Hypothyroidism Disease State" is a comprehensive dataset designed to support healthcare professionals and researchers in understanding and managing acquired hypothyroidism. This condition, characterized by insufficient thyroid hormone production, can lead to various health issues if not properly addressed. Key Features and Functionality: - Detailed Patient Profiles: The dataset includes extensive patient information, covering demographics, medical histories, and treatment outcome

The Hypertension Disease State Predictor is an advanced machine learning model designed to assess the likelihood of hypertension in individuals by analyzing various medical attributes. Developed using the XGBoost algorithm and deployed on AWS SageMaker, this tool offers healthcare professionals a robust solution for early detection and management of high blood pressure. Key Features and Functionality: - End-to-End Machine Learning Pipeline: The model encompasses the entire process from data co

The AFIB Disease State Predictor is a sophisticated machine learning model designed to identify and predict the presence of atrial fibrillation (AFIB, the most common type of treated heart arrhythmia. By analyzing patient data, this tool aids healthcare professionals in early detection and intervention, potentially reducing the risk of complications associated with AFIB. Key Features and Functionality: - Advanced Machine Learning Algorithms: Utilizes state-of-the-art machine learning technique

Calibers National Incident-Based Reporting System (NIBRS) is an incident-based reporting system used by law enforcement agencies in the US for collecting and reporting data on crimes. Local, state and federal agencies generate NIBRS data from their records management systems.

The AMI Disease State Predictor is a machine learning model designed to predict the likelihood of Acute Myocardial Infarction (AMI, commonly known as a heart attack. By analyzing patient data, this tool aims to assist healthcare professionals in identifying individuals at risk, enabling timely intervention and personalized treatment plans. Key Features and Functionality: - Predictive Analytics: Utilizes advanced machine learning algorithms to assess patient data and predict the probability of

The COPD Disease State Predictor is an advanced machine learning model designed to predict the risk of severe chronic obstructive pulmonary disease (COPD exacerbations. By analyzing patient data, it identifies individuals at high risk for hospitalizations related to acute COPD exacerbations, enabling timely interventions and personalized care plans. Key Features and Functionality: - Risk Prediction: Utilizes machine learning algorithms to assess the likelihood of severe COPD exacerbations, fac

The Leukemia Disease State Predictor is an advanced machine learning model designed to assist healthcare professionals in accurately diagnosing and classifying various subtypes of leukemia. By analyzing comprehensive genomic data, this tool enhances the precision and efficiency of leukemia diagnosis, facilitating timely and personalized treatment plans. Key Features and Functionality: - Multi-Class Classification: Utilizes sophisticated algorithms to differentiate between multiple leukemia sub

The Lymphoma Disease State Predictor is an advanced machine learning model designed to assess and predict the progression of lymphoma by analyzing patient-specific data. This tool leverages deep learning algorithms to evaluate various clinical and histological parameters, providing healthcare professionals with a risk score that indicates the likelihood of disease progression. By integrating this predictor into clinical workflows, medical practitioners can make more informed decisions regarding

The MS Disease State Predictor is an advanced machine learning model designed to assist healthcare professionals in predicting the progression of multiple sclerosis in patients. By analyzing a comprehensive set of clinical and imaging data, this tool provides early and accurate assessments of disease severity, enabling timely therapeutic interventions to potentially slow or prevent further neurological deterioration. Key Features and Functionality: - Multimodal Data Analysis: Integrates variou