Our work

Fintech AI

Paia³

Field expense operator for teams in motion—capture receipts in WhatsApp, structure spend with AI, and see live visibility across the operation on paia.chat.

Challenge

Most teams only understand spend after it has already happened
Receipts get lost in WhatsApp chats, pockets, or transit—or submitted days later
Finance reconstructs purchases manually after events and shoots
Receipts lose context (purpose, approvals) and teams chase missing information
Budget visibility arrives when the work is finished, not while it is happening

Solution

WhatsApp-first receipt capture via Twilio so crew submits the moment they pay
AI vision extracts structured fields—amount, vendor, date, categories
Shared Supabase datastore with teams, roles, and permissions
Web dashboard for expense management and conversational queries over live data
Credit-based processing so usage stays predictable for operators

Results

Captures expenses at the point they occur, not days later
Fewer lost receipts and less missing context for finance
Eliminates manual spreadsheet entry for field spend
Live visibility into spend while events and shoots are still running
Single source of truth across crews, ops, and finance
Better decisions and reimbursement flow before budget drift sets in

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Media & News AI

Papernews

Agentic news aggregation that searches the web and writes comprehensive, sourced news articles in seconds from user-defined topics.

Challenge

Keeping up with news across multiple topics is time-consuming
Traditional aggregators lack depth and sourcing transparency
Readers want comprehensive coverage with verifiable sources
Manual research and article assembly doesn't scale

Solution

Built agentic news aggregation app with web search
Users type keywords for one or more topics
AI searches the web and writes comprehensive, sourced articles
Articles generated in seconds with tone options (Neutral, Concise, Analytical)

Results

Instant multi-topic news coverage on demand
All articles AI-written and sourced from the open web
Streamlined research and synthesis workflow
Transparent sourcing for reader trust

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Media Technology

SYNQABL

An AI agent that automates music licensing, metadata tagging, and licensing workflows—cutting processing time by 80%.

Challenge

Manual music licensing process was time-consuming
Complex metadata tagging required extensive expertise
Inconsistent tagging quality across team members
Scaling the team wasn't economically viable

Solution

Built AI-powered music licensing agent using GPT-4
Integrated with existing music library systems via API
Created automated metadata tagging and classification
Delivered real-time licensing workflow automation

Results

80% reduction in licensing processing time
Consistency increased from 65% to 98%
Team productivity increased by 400%

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Matchmaking AI

SmartMatchAgent

A conversational matchmaking agent that turns natural-language intent into ranked matches with compatibility scoring.

Challenge

Matchmaking involves many variables that are hard to express in rigid forms
Users must manually search, filter, and compare candidates across multiple screens
Agencies rely on spreadsheets/CRMs and fragmented notes to track recommendations
Compatibility is interpreted manually without system guidance

Solution

Introduced a conversational interface for matchmaking requests in natural language
Parsed intent to interpret preferences, constraints, and compatibility signals
Generated dynamic match cards directly in the chat for faster review and action
Used conversational onboarding to build or refine profiles over time
Ranked matches with compatibility scores to guide introductions and next steps

Results

Faster discovery compared to manual browsing and profile comparison
Reduced onboarding friction via guided, conversation-based data collection
More consistent matching workflows for users and matchmaking agencies
Improved visibility and tracking across introductions and engagements

Recruitment AI

RecruitOS

RecruitOS turns a job brief and a stack of candidate profiles into a ranked shortlist you can explain and trust.

Challenge

Manually reviewing stacks of profiles is slow and invites subjective calls
Evaluations drift when every role isn’t measured against the same criteria
Hard to justify shortlists to clients or hiring managers without a shared bar

Solution

Capture a role brief with required skills, experience, and seniority
Add candidates from CVs or LinkedIn
Automatically score and rank candidates based on fit to the brief
Produce a clear, defensible shortlist ready to share

Results

Faster shortlisting with less manual comparison work
More consistent decisions from role to role
Better alignment with clients and hiring managers on who moves forward

Paia³

Papernews

SYNQABL

SmartMatchAgent

RecruitOS

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Paia³

Challenge

Solution

Results

Papernews

Challenge

Solution

Results

SYNQABL

Challenge

Solution

Results

SmartMatchAgent

Challenge

Solution

Results

RecruitOS

Challenge

Solution

Results

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