Projects we've shipped.
Real products built for real startups. Each project here went from idea to production — scoped, built, and deployed by our team.
Immersive AI Learning Platform
Enterprise-grade L&D platform with Generative AI avatars for immersive, measurable training.
The Problem
Most L&D platforms rely on pre-recorded videos and static text — inherently lacking immersion, measurability, and the flexibility to adapt to each learner. Corporate training teams struggled to move beyond passive content consumption toward truly interactive learning experiences.
Our Solution
We built an enterprise L&D platform with Generative AI at its core, featuring natural-language conversations with digital avatars, dynamic training modules, and a cloud-native multi-org architecture supporting 1000+ concurrent learners. Real-time analytics give administrators visibility into every interaction.
The Result
Delivered a scalable platform that positions our client as a category leader in immersive learning. The avatar-driven experience became their primary differentiator in enterprise sales conversations, transforming how global teams train their workforce.
Tech Stack
AI-Powered Invoice Automation
End-to-end accounts payable and receivable automation with intelligent document understanding.
The Problem
Finance teams spent hours manually processing invoices — extracting line items, validating against ERP data, and reconciling totals. The process was error-prone, slow, and consistently delayed month-end close cycles.
Our Solution
We built an AI-powered document processing platform using Azure Document Intelligence and Azure OpenAI to extract, validate, and reason over financial data. A natural-language chat interface lets finance teams query invoices conversationally, and automated ERP cross-checking eliminated manual reconciliation.
The Result
Reduced invoice processing time from hours to seconds. Month-end close cycles accelerated significantly, and the finance team recovered capacity previously lost to manual data entry — now redirected to higher-value analysis.
Tech Stack
Intelligent Recruitment Platform
AI-driven resume analysis and automated voice interviews for unbiased, scalable hiring.
The Problem
Recruiters drowned in resume stacks, passing over qualified candidates whose resumes didn't exactly match job descriptions. Inconsistent interview processes produced unreliable evaluations and delayed candidate feedback.
Our Solution
We built an intelligent recruitment platform combining AI-driven resume parsing and ranking with automated voice interviews powered by ElevenLabs. Human interviewers get a co-pilot that surfaces questions and scores responses in real time. A visual pipeline and analytics dashboard gives hiring managers instant visibility into every stage.
The Result
Compressed time-to-hire dramatically while improving evaluation consistency. Recruiters now surface qualified candidates they previously would have missed, and interview quality became measurably more consistent across hiring managers.
Tech Stack
Live Contact Center AI Co-Pilot
Silent AI co-pilot that listens to live calls and surfaces customer context in real time.
The Problem
Customer service representatives struggled to pull up customer data — order history, support tickets, account details — while actively speaking with customers. Every lookup pause damaged the conversation flow and frustrated callers.
Our Solution
We built a silent AI co-pilot that listens to live conversations, interprets intent, and instantly surfaces relevant customer context directly to the CSR. It integrates with CRM and ERP systems to retrieve order status, account details, and support history — without the CSR ever leaving the call flow.
The Result
CSRs handled calls faster and with more confidence. First-call resolution improved, average call duration dropped, and the cognitive load on agents reduced significantly. Customer satisfaction scores moved up quarter over quarter.
Tech Stack
AI Patent & IP Lifecycle Platform
End-to-end university IP lifecycle management with Generative AI drafting and triage.
The Problem
Research institutions managed their entire IP lifecycle — from invention disclosure through drafting, approvals, filing, and post-filing tracking — across scattered tools, spreadsheets, and email threads. Researchers, admins, and attorneys had no shared source of truth, and compliance exports were painful.
Our Solution
We built a unified AI-powered platform that digitizes every stage of the IP lifecycle. Generative AI assists with invention disclosure drafting, patent triage, and compliance checks. AI-generated insights on Technology Readiness Level, market size, and market value help researchers prioritize what to commercialize. Premium analytics and secure document handling support attorney workflows end-to-end.
The Result
Centralized the entire IP lifecycle for the institution, replacing fragmented workflows with a single collaborative platform. Researchers, admins, and attorneys now work from shared data — and the AI-generated market insights became a key input for commercialization decisions.
Tech Stack
Agentic RAG Pharma Research Assistant
Conversational research assistant that delivers cited, contextual answers from curated pharma datasets.
The Problem
Pharma consultants drowned in scattered data — publications, internal reports, databases — with no time to find credible, contextual answers. Existing AI and BI tools returned shallow results without citations, forcing users to re-verify everything manually.
Our Solution
We built a conversational research assistant powered by agentic RAG. Users ask questions in natural language and receive cited, contextual answers drawn from curated pharma datasets and documents. The system performs deep dives into publications, links new findings with prior studies, and recommends related resources — every response backed by transparent source references.
The Result
Transformed how the consulting team conducts research. Queries that previously took hours of database searching now return cited answers in seconds, and the transparency of sources gave the team confidence to rely on AI-generated insights in client deliverables.
Tech Stack
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