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Cherith
Researchers collaborating in a laboratory setting
R&D for global mission

Technology for difficult places.

Research, experimentation, and incubation — moving fast to discover what serves those who go where the church needs them most.

Our Approach

Move fast. Fail or succeed quickly.

Labs applies disciplined structure around creative vision — every project earns its way through research, experimentation, and incubation before resources scale.

Research
Identify the gap. Understand what the field needs, what exists, and where the greatest dislocation lies.
Experiment
Build fast, test with real users, validate against three criteria: feasibility, desirability, viability.
Incubate
Projects that pass validation receive sustained investment. Decision gates at every stage: pause, pivot, or persevere.
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Active Projects

Computational Linguistics

Problem

Bible translation still relies on slow, manual alignment processes. Existing automated methods lack the accuracy needed for scripture — where every word carries weight.

Solution

Compare fully automated AI alignment against human-checked methods to determine which approach produces more accurate, trustworthy translations at scale.

Scalability

A validated automated pipeline could accelerate Bible translation into hundreds of remaining languages, reducing decades of work to years.

Roles Involved
Computational Linguist NLP Engineer Research Advisor

Open-Source Bible Translation

Problem

Major Bible translation owners are moving to subscription models, restricting AI access to scripture data. Translators and researchers are losing the open tools they depend on.

Solution

Build an open-source, structured, digital-first Bible translation with embedded historical languages — a versioned data structure designed for continuous improvement and AI integration.

Scalability

An open data standard for Bible translations could become the foundation layer for every AI-powered scripture tool — search, study, and translation — across languages worldwide.

Roles Involved
LLM Engineer Data Architect Project Lead

AI-Tutor Exploration

Problem

Current AI chatbots lack the depth and doctrinal precision needed for genuine Christian faith formation. Generic tools can't track spiritual growth or assess worldview development.

Solution

Investigate a purpose-built AI tutoring tool focused on Christian beliefs, values, and worldview — with progress tracking and centered set assessment that goes beyond surface-level Q&A.

Scalability

A validated AI tutor could serve millions of believers in discipleship — especially in regions with few trained teachers, multiplying the reach of sound Christian education.

Roles Involved
AI/ML Researcher Curriculum Designer Research Advisor

2 open roles

Ready to build for eternity?

We're hiring engineers who want their work to outlast them.