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Tracer AI, a private retrieval and asset-intelligence platform that turns large codebases, documents, operational data, and knowledge stores into ranked, explainable AI context. I architected the ingestion, classification, scoring, vector retrieval, graph relationships, review and promotion workflows, plus Runtime-C context bundles. Tracer supports tenant-scoped retrieval with citations and keeps source systems read-only.
KEY CAPABILITIES
• Source ingestion and warehouse scanning
• Content classification and asset scoring
• Fingerprinting, tagging, and duplicate detection
• Vector retrieval with lexical/entity reranking
• Knowledge-graph relationships and dependency mapping
• Review, approval, rejection, and golden promotion workflows
• Explainable citations and bounded Runtime-C context bundles
• Tenant-scoped retrieval and source-system isolation
• Read-only operation against source CRM/data systems
ARCHITECTURE FLOW
Raw Sources → Scan → Classify → Score → Fingerprint → Inspect Content → Tag → Review → Approve / Reject → Vector / Graph / Corpus → Tracer Search → Context / Resource Bundle → Runtime-C
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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What if anyone on your team could ask your data a question and get a live dashboard back in under a minute?
That was the brief. Business users were locked out of their own data. Every question waited on someone who could write SQL, data sat across disconnected systems, and security teams refused to send sensitive records to third-party AI tools.
So we flipped the model. Instead of moving enterprise data to an AI product, we moved the AI analytics product into the customer's AWS account.
What we built:
• Natural-language querying that turns plain-English questions into governed dashboards in under 60 seconds
• Federated queries across SQL and NoSQL sources through Trino
• AI query generation on AWS Bedrock Agents, with Bedrock Guardrails keeping model output in bounds
• Dashboards generated with Apache Superset, plus proactive anomaly and trend alerts
• A white-label React widget that embeds in any product
• Role-based access, row-level security and enterprise SSO enforced at every layer
The result:
Zero data egress. The whole platform deploys inside the customer's VPC and is live on AWS Marketplace.
Building AI features for a data-heavy or regulated product? Let's talk about doing it without your data leaving your cloud.
The problem
AI tools changed how fast good work gets made, but hiring still looks like 2015: long specs, hourly guesses, and no clear line between a prompt and a finished product. Clients want the result. Skilled people who build with AI want to be paid for outcomes, not hours.
What we built
VibeBay is a two-sided marketplace for finished AI work. A client posts what they need in plain words. Matched talent reply with a price, a delivery date and real samples. The client picks one, pays into escrow, and the money is released when they approve the work, or 7 days after delivery.
Inside the product:
Explore and search across six kinds of work, with talent profiles, portfolios, levels and reviews
Task posting, proposals with milestones, and checkout with escrow through Stripe
Real-time messaging between clients and talent
An AI assistant that helps clients describe the work and find the right person
Skill tests graded by AI, and profile import that turns an existing portfolio into a VibeBay profile
A full admin panel: approvals, moderation, support, orders and live campaign numbers
A pre-launch system with founding seats per country, referral codes and a countdown to opening day
How it's built
Next.js on Netlify, Supabase for the database, sign-in and file storage, Stripe for payments and escrow, Claude for the AI features, and Resend for email. Every page is checked automatically on each change at four screen sizes, from a small phone to a wide desktop, for accessibility and for broken buttons and links.
Where it is now
Founding seats are opening country by country, and the full marketplace opens on 31 October 2026.
Designed and built by Dreamec Studios.:
