Stop Building Data Pipelines By Hand, Every Time

Stop Building Data Pipelines By Hand, Every Time

Stop Building Data Pipelines By Hand, Every Time

Engineering teams lose weeks mapping legacy schemas for every integration and migration. Free up your roadmap instead of your backlog.

  • Legacy System Modernization

    Modernize legacy systems without disrupting day-to-day operations.

  • Data Integration

    We extract, summarize, and validate data from police reports, estimates, medical records, and photos.

  • AI Readiness

    Build secure, governed data foundations for enterprise AI.

  • Cybersecurity & Data Privacy

    Protect sensitive data with AI-driven security and privacy controls.

  • Cloud Transformation

    Migrate to the cloud with minimal disruption and lower risk.

  • Technical Debt Reduction

    Eliminate legacy bottlenecks and simplify application maintenance.

  • Scalable Digital Architecture

    Build API-first, cloud-native platforms that scale with growth.

  • Technology Talent Enablement

    Empower teams with AI tools and reusable development frameworks.

  • Compliance & Governance

    Automate compliance, governance, and audit-ready data controls.

  • Business Agility

    We recommend reserve estimates and flag adjustments needed, using predictive models on historical data.

  • Portfolio Visibility

    We generate claim notes, summaries, and correspondence drafts automatically, freeing adjusters to investigate.

The Problem

Your Engineers Inherit the Data Mapping, Not the Product Work

Your Engineers Inherit the Data Mapping, Not the Product Work

Every new integration means engineers manually reading legacy schemas, guessing field semantics, and writing one-off mapping scripts. That work never shows up on the roadmap, but it always shows up on the timeline.

Effortlessly connect with your favorite tools. Whether it's your CRM, email marketing platform.

Schema Mapping Eats Engineering Time

Cryptic legacy field names force engineers to reverse-engineer meaning table by table, sprint after sprint.

Schema Mapping Eats Engineering Time

Cryptic legacy field names force engineers to reverse-engineer meaning table by table, sprint after sprint.

Integration Timelines Are Unpredictable

What should take days stretches into weeks because no one can say for certain what a field actually means until someone manually checks.

Integration Timelines Are Unpredictable

What should take days stretches into weeks because no one can say for certain what a field actually means until someone manually checks.

Technical Debt Blocks Modernization

Every new system added to the stack adds another mapping layer nobody has time to document, until the whole architecture is held together by tribal knowledge.

Technical Debt Blocks Modernization

Every new system added to the stack adds another mapping layer nobody has time to document, until the whole architecture is held together by tribal knowledge.

The Solution

Insurance-Trained AI Built for Engineering Teams

Insurance-Trained AI Built for Engineering Teams

Our insurance-trained AI model, LiLa, reads legacy and modern schemas and returns field-level mappings grounded in real P&C data structures, with a human in the loop to review every mapping before it moves. Your engineers review and approve. They stop reverse-engineering column names.

Effortlessly connect with your favorite tools. Whether it's your CRM, email marketing platform.

Join Us Now

Every Insurer We Work With

Moves Faster and Operates Smarter.

Join us and turn complex data challenges into streamlined, automated operations with the help of our Insurance-trained LLM

Join Us Now

Every Insurer We Work With

Moves Faster and Operates Smarter

Join us and turn complex data challenges into streamlined, automated operations with the help of our Insurance-trained LLM