Pendoah

StatSafe is a data access platform built for pharmaceutical and life sciences enterprises to make operational data easier to use for business teams. Developed with Pendoah as the technical partner, StatSafe transformed how regulated organizations access and use data from complex databases. The platform was designed to close the gap between domain experts who need fast data insights and technical teams that write database queries for them.

The solution enables business users to ask questions about operational data and receive accurate results without waiting for custom query support. It improves data access speed, boosts accuracy of results, and reduces internal support tickets by providing direct access to insights in a compliant and controlled way. The platform was built with strong audit logging and security features to meet regulatory requirements in the pharmaceutical and life sciences industry.

The implementation included stakeholder research, architecture design, secure integration with enterprise data systems, compliance tracking, and a structured rollout with documentation and support. After deployment, StatSafe helped organizations shorten data turnaround times, reduce reliance on technical staff for routine queries, and support regulated processes with clear logging and documentation.

Inquiry Agent is a customer support operations platform created for e‑commerce businesses to automate the handling of routine support inquiries. With Pendoah as the development partner, the team delivered a production‑grade software platform that combines real‑time email monitoring, commerce data integration, and structured support workflows.

The platform was built to help merchants reduce the workload on support teams, improve response consistency, and ensure that every incoming inquiry is tracked and resolved. It integrates with key systems such as email and commerce platforms to provide accurate status updates on orders, shipments, refunds, and subscription management.

During development, the project included discovery and architecture planning, implementation of core integrations, workflow management tools, analytics dashboards, and support for a multi‑tenant marketplace approach with secure access controls. After launch, the platform enabled e‑commerce teams to automate the majority of repetitive tasks while retaining oversight and control through policy‑aligned response logic and human review.

GALSI Lite is a domain-specific AI co‑pilot designed to transform how life sciences startups and venture builders create investor-ready materials, manage regulatory compliance, and streamline validation workflows. Built in partnership with Pendoah AI, GALSI Lite delivers an intelligent, multi-tenant, production-ready SaaS platform that empowers biotech, pharma, and medtech organizations to reduce time-to-documentation and reliance on costly consultants.

The platform addresses critical challenges faced by early-stage life sciences companies, including lengthy preparation cycles for pitch decks, executive summaries, business plans, and compliance artifacts, by integrating AI-driven tools, expert-vetted templates, automated IP/FTO analysis, and standardized audit-ready documentation. With robust security and compliance foundations tailored for SOC 2, HIPAA, and GDPR, GALSI Lite ensures sensitive clinical and intellectual property data is protected while enabling teams to generate professional-grade deliverables in hours rather than weeks.

Delivered in just eight weeks from concept to production, the platform’s modular architecture includes suites for investor pitch generation, strategy planning, deep research, and knowledge management, all accessible through a responsive, multilingual interface. This project showcases measurable impacts such as accelerated documentation cycles and reduced external consultant costs, highlighting the tangible value of AI-enabled workflows for regulated industries. 

Abode is transforming the traditional home services industry by replacing outdated quote‑and‑hourly rate processes with a transparent, flat‑rate service marketplace that delivers an e‑commerce‑style booking experience for homeowners, service providers, and affiliates.

Business Challenge:

The home services space was hindered by opaque pricing, inconsistent quotes, scheduling friction, and reliance on manual coordination. Homeowners frequently abandoned service searches due to uncertainty and inconvenience, while service providers lacked scalable digital visibility and referral incentives.

Objectives:

• Build a multi‑phase, three‑sided marketplace platform featuring transparent, flat‑rate pricing.

• Connect homeowners, vendors, and affiliates in a unified digital ecosystem.

• Enable instant booking and revenue‑sharing for service providers.

• Design an affiliate portal with automated commission tracking and payouts

Xiber is an internal AI-powered platform built to help technical teams quickly create professional, well-structured white papers. Designed for Xiber’s own staff, the platform streamlines drafting, enforces formatting consistency, and provides intelligent, sectionaware writing support.

User Interviews & Research Insights 

When XIBER approached us, the objective was clear: design a modern internal tool to help their technical teams generate structured, high-quality white papers with the assistance of AI. While the idea was centered on traditional rich text editing, the true challenge was to seamlessly integrate intelligent, AI-driven support something the team had never used before but strongly desired.

Our Research Approach

To understand the specific needs, expectations, and pain points of XIBER’s internal teams, we conducted 3 targeted user interviews with:

Technical Documentation Specialist
Wants faster drafting + audit-ready accuracy 

Cybersecurity Analyst 
Wants compliance without heavy QA overhead

Product Marketing Writer 

Wants scalable content creation + consistency

These sessions were a mix of open-ended discussions and guided tasks using their current document creation tools

 

Airiam is a context-aware chat platform built to deliver intelligent assistance using your organization’s own documents. Users can attach specific files or knowledge sources to a conversation, making sure responses stay accurate, relevant, and based on real company information.

Insights That Shaped the Solution

Users expect more than just general-purpose AI
They want answers that come directly from their own documents. Trust is built when the AI pulls responses from files they know and rely on.

Conversations need boundaries
Context binding plays a key role in keeping the AI focused. When users select a document, they want to be sure that every response is based only on that content.

Citations create confidence
Users value knowing exactly where an answer is coming from. Showing the source file and a snippet of the reference builds clarity and trust.

Document management should feel effortless
Admins don’t want complex setups. They need a simple way to upload, review, and manage documents so that the AI is always working with the right information.

Context switching shouldn t break the flow
Even if a user changes the document mid-conversation, they still expect a smooth experience. The conversation should carry forward without losing momentum.

Interfaces need to work for everyone
From technical leads to HR managers, users come with different levels of comfort around tools like this. The experience must feel intuitive whether someone is deeply technical or just getting started.

From Insights to Solutions: How Airiam Responded

Context-Bound AI Assistant:

A dedicated assistant that offers help based on the section being edited with suggestions, formatting improvements, and structural tips

Prompt-Driven Workflow
Free-form prompt interface so users can guide the AI in their own terms, improving adoption and comfort.

AI Training Module
Allows users to upload internal documents, white papers, and guidelines to custom-train the AI — turning it into a true internal writing partner

Reimagining talent discovery with trust and motion

Lymelyt is a mobile-first, video-driven talent discovery and booking app that transforms how users explore, evaluate, and connect with creative professionals.

Market context

The global digital talent and gig economy continues to expand, projected to surpass $400 billion by 2030.

Yet most talent discovery platforms still rely on static listings and photos that fail to communicate real skill or authenticity. For users, this means friction and distrust; for creators, invisibility in a crowded market.

Lymelyt’s founders recognized a growing opportunity, merge short-form video engagement with instant booking flows to humanize how talent is found and hired.

Pendoah’s challenge was to translate that vision into a mobile experience built for trust, scale, and speed.

The challenge

The market was saturated with impersonal directories and fragmented tools.
 Talent struggled to stand out, while users hesitated to book without proof of credibility.

• Static profiles and limited visibility.
• Slow and unclear booking processes.
• High drop-off rates from distrust.
• No secure or verified system for payment and identity.

The vision

Video-first experience

Showcase talent in action through short, authentic clips.

Trust & transparency

Build credibility through verified profiles, reviews, and secure transactions.

Simplicity at scale

Enable seamless discovery-to-booking in just a few taps.

From showcase to booking

Move from passive browsing to active engagement, making every interaction feel personal, immediate, and confident.

Implementation journey

01 Discovery & requirement mapping

Mapped market gaps, user behavior, and trust barriers.

02 Architecture design

Mobile-first design with scalable video infrastructure.

03 Development

Built video feed, instant booking, payment, and in-app messaging.

04 Compliance & security

Integrated encrypted payments and data protection layers.

05 Testing & rollout

Beta-launched with feedback loops for performance tuning.

ProVal AI is a software platform developed to help regulated organizations in industries such as medical devices, pharmaceuticals, and biotechnology improve their validation and quality documentation processes. With Pendoah as the development partner, the platform was built to shorten validation cycles, reduce review iterations, lower compliance costs, and expand internal capacity for quality teams.

The project addressed key challenges faced by these organizations, including time‑consuming preparation of validation documents, heavy reliance on external consultants, inconsistent quality practices, and risk of errors that could lead to audit issues. By providing a structured system for document creation, review tracking, and compliance readiness, ProVal AI has enabled users to produce required quality artifacts more efficiently and with greater confidence.

The development process included user research with quality professionals, design of a scalable architecture, implementation of secure access controls, and a production rollout with ongoing monitoring and support. After launch, the platform helped users reduce manual effort, improve traceability of documentation, and support internal compliance activities more effectively.