Services

We develop, deploy and manage AI driven solutions.

From strategy to application, we partner with you where you are in the AI lifecycle

AI Strategy
4 - 8 weeks
AI Lighthouse Project
8 - 12 weeks
AI Application Development 
3 - 6 months

Drive innovation
We consider how your datasets can be leveraged to productize AI-driven solutions to accelerate your mission. We evaluate feasibility, assess market opportunity, and build an AI roadmap.

Validate a concept
We design AI Lighthouse proof-of-concept projects focused around a narrow scope and achieve results in an 8 to 12 week timeline. De-risk your AI investment and confirm a path to production. 

Engineering to deploy at scale 
After the AI lighthouse project has established feasibility, we develop cloud-based infrastructure, data engineering pipelines, data storage, and the integrations necessary to operationalize your ML application. We are able to deploy most applications into production within 3 to 6 months.

ML Ops Architecture
Launching an AI driven product is only the beginning. Designing infrastructure and workflows for continuous monitoring, retraining and versioning is critical to maintaining your competitive edge and long-term success.
AI
Strategy
8 - 12 weeks

Drive innovation. We consider how your data sets can be leveraged to productize AI-driven solutions to accelerate your mission. We evaluate feasibility, assess market opportunity, and build an AI roadmap.

AI
Lighthouse
POC
8 - 12 weeks

Validate a concept. We design AI lighthouse projects focused around a narrow scope and achieve results in an 8 to 12 week timeline. De-risk your AI investment and confirm a path to production.

AI Product
Development
3 - 6 months

Engineering to deploy at scale. After theAI lighthouse project has established feasibility, we develop cloud-based infrastructure, data engineering pipelines, data storage, and the integrations necessary to operationalize your ML application. We are able to deploy most applications into production within 3 to 6 months.

ML Ops Architecture
Launching an AI driven product is only the beginning. Designing infrastructure and workflows for continuous monitoring, retraining and versioning is critical to maintaining your competitive edge and long-term success.

VIVO®

AI for Videos, Voice and Text analytics

Automated, multimodal machine learning using video, voice and text build product around engagement, emotion, mental state and physical health. We also have additional expertise in controlling and detecting racial bias in this kind of machine learning product.

LEARN MORE about vivo

Clinica®

AI for Connected Medical Devices

Machine learning for medical device data across a wide variety of data types (patient, device, sensor, image) to predict patient health or device status. Our CLINICA platform enables multi-modal analysis from multiple sources including vital signs and wearables and provides the infrastructure to maintain and update a deployed algorithm.

LEARN MORE about CLINICA

URGO®

Natural Language Processing of Scientific Information

The URGO platform allows scientists to more quickly discover new and hidden relationships in large knowledge databases, such as the patent literature and pubmed. It uses state-of-the-art natural language processing (NLP) methods to extract domain-specific entities and learn semantic relationships from unstructured text data and presents that information in a number of graphical formats.

LEARN MORE about URGO

Next Steps

From strategy to deployment, we partner with you where you are in the AI/ML lifecycle.

We’re proud to call these clients partners

Partner Logo Blackthorn
partner logo benson hill
partner logo artidis
partner logo braincheck
partner logo lung therapeutics
partner logo resonant
partner logo chaione
partner logo label insight
partner logo deep imaging
partner logo koupon
partner logo trendkite
partner logo 42lines
partner logo aclaimant
partner logo olea edge analytics
partner logo ripple science