Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
This is some text inside of a div block.
This is some text inside of a div block.
Challenge

Heading

This is some text inside of a div block.
This is some text inside of a div block.
This is some text inside of a div block.
This is some text inside of a div block.
This is some text inside of a div block.
This is some text inside of a div block.
Artificial Intelligence
Custom Software Development
Pharma & Life Sciences
Challenge

Manual, error-prone processes delayed patient-to-trial matching, leading to missed enrollments, slower timelines, and underutilized clinical programs.

40%
Reduction in Patient Matching Time
Real-Time
Predictions via AWS SageMaker + MolecularMatch
30%
Higher Enrollment Rates + Expanded Trial Access
Artificial Intelligence
Data Engineering
Pharma & Life Sciences
Challenge

Data inconsistencies, missing fields, and anomalies in trial data risked delays, rejections, and regulatory setbacks, threatening both revenue and reputation.

40%
AI Models Flagged and Corrected Data Errors
CDISC SDTM
Compliance for Faster Approvals
30%
Reduced Review Time + Legal/Regulatory Risk
Custom Software Development
Pharma & Life Sciences
Challenge

Oncology clinicians struggled to find and apply the right treatment guidelines amid a flood of evolving protocols and fragmented documentation. Customization across institutions added more complexity.

60%
Reduction in Guideline Lookup Time
Streamlined
Care Decisions
30%
Custom Pathways Aligned with Institutional Protocols
Artificial Intelligence
BI & Analytics
Pharma & Life Sciences
Challenge

Business users struggled to extract insights, relying heavily on IT to run reports and queries. This slowed decision-making and stalled response to market changes.

2.5x
Faster Business Decisions
NLP to SQL
for Self-Serve Reporting
Zero-code
Visualizations Drove Data Confidence Org-Wide
Custom Software Development
Cloud Engineering
Healthcare
Challenge

Productivity gaps and MIPS compliance hurdles were hurting senior care providers. Manual workflows and reporting delays had to go.

25%
Drop in CMS Reporting Time
5%
Increase in Daily Encounters
25%
Fewer Denied Claims
Custom Software Development
Cloud
Healthcare
Challenge

Therapists were bogged down by heavy documentation, draining time from actual care. The client needed a streamlined, compliant digital platform.

80%
Reduction in Documentation Effort
5-7 mins
For Initial Evals (down from 30)
Integrated
Billing, scheduling, and compliance