Engineering the Future of Intelligent Business

Traditional RAG systems keyword-match flat documents, losing context and enabling hallucination. AI agents working across months of context with inconsistent reasoning paths contribute to catastrophic failures in healthcare, legal, and finance.

A stateful cognitive layer storing reasoning paths as natural-language edges in a semantic graph, enabling multi-hop causal reasoning and temporal understanding. Achieves 94% adversarial robustness and 79.2% temporal accuracy on the LoCoMo benchmark.

Industry-leading performance on adversarial queries and temporal reasoning. The only rational choice for regulated industries where wrong answers have measurable consequences—healthcare (malpractice), legal (sanctions), finance (fines).

HR teams use fragmented tools scattered across platforms—employees apply leave in one system, managers review appraisals in spreadsheets, attendance data lives elsewhere. No unified view, inconsistent processes, manual overhead.

Tabelle reimagines HR as conversation. Role-based dashboards for employees, managers, HR admins with clock-in/out, two-stage leave approvals, goal management, AI-generated self-assessments, and peer recognition. Claude MCP integration lets users apply leave, check balances, and clock in via natural-language chat.

Complete employee lifecycle digitization from onboarding to exit. Every HR module is fully customizable with custom fields, renamed labels, and permission-based gating. Unified experience reduces training time and support overhead.

Investment teams manually consolidated data across legacy APIs, spreadsheets, and currency conversions with no way to query it conversationally.

A three-layer AI platform: immutable ETL pipeline (APIs → MongoDB → PostgreSQL), interactive dashboards with PDF exports, and Fini—an LLM chatbot for natural-language portfolio queries.

Sub-67ms query latency, 70% reduction in manual reporting, and fully automated USD/INR reconciliation across multi-currency portfolios.

Developers have graveyards of unreleased changelogs and half-finished release notes. 'I'll write that post later' intentions never materialize, and shipping code never becomes shipping content.

CodeFlex sits inside any git repository, analyzes commits and diffs since a version, and calls an LLM via OpenRouter to generate developer-quality content in seconds. Supports 5 tones (changelog, deep dive, casual, announcement, technical) and lets developers switch between GPT-4, Claude, Gemini, and other models with one command.

Zero-friction conversion from shipped code to published content. Real-time streaming terminal preview, no config-file setup required. 10K+ posts generated; trusted by 2,500+ developers in production.

Teams make critical decisions in Slack conversations but lose track of them—no audit trail, no accountability, decisions scattered across channels and never recorded in business systems.

A Slack-native decision management platform that enables teams to propose, vote, and finalize decisions with democratic voting, AI-powered summaries, and automatic synchronization to Zoho CRM.

Complete decision audit trail; democratic voting ensures buy-in; automatic CRM sync eliminates lost decisions; searchable decision history transforms organizational governance.

Fashion service providers collaborate with clients using scattered tools—tasks in one system, communications in another, approvals in spreadsheets. No single source of truth, visibility gaps, client trust issues.

A role-aware B2B platform replacing scattered tools with one workspace. Four-role system (Admin, Team, Customer, Unassigned), per-brand isolated workspaces with custom categories, drag-and-drop task management, threaded comments with @mentions, image-first collaboration for visual fashion workflows. Built on Expo SDK 54 and Convex with native iOS/Android apps and PWA.

Transforms how fashion providers collaborate. Enterprise-grade security with immediate cross-device session invalidation. Complete data isolation between competing brands. Deep-linked push notifications. Comprehensive audit trail for compliance.

Legal teams manually hunt through dense PDFs for parties, clauses, and deadlines — a process that takes hours per document and introduces costly human error. No searchable contract library. Missed obligations and renewal dates.

Automated OCR extracts contract text. Neo4j knowledge graph maps clause relationships (parties, obligations, renewal terms, expiry dates). Natural-language Q&A interface handles complex queries like 'Which contracts expire in Q2 with auto-renewal clauses?' instantly. Proactively flags missing standard clauses and unusual terms.

70% reduction in review time with consistent, auditable analysis across entire contract library. Missing clause detection prevents signing time bombs. Deadline tracking ensures nothing is missed. Zero hallucination through graph-based clause search.

Teams routinely lose track of action items discussed in Slack because capturing them in Asana requires context-switching that simply doesn't happen. Critical decisions scattered across channels. No audit trail.

Flask-based bidirectional API bridge embeds Asana task management directly in Slack conversations. Team members use slash commands to create tasks (with assignees, due dates, descriptions), receive instant notifications when Asana tasks update, and view progress without leaving the channel. Comments sync automatically between platforms in real time.

Zero context switching. Every discussed action item becomes a tracked deliverable. Real-time bidirectional sync ensures both platforms stay in perfect parity. Optional AI layer auto-fills task fields from natural-language messages.

The average knowledge worker spends 2.6 hours daily on email, most of it on low-value triage and repetitive replies that drain focus. Long threads buried. Critical messages missed. Repetitive responses take forever.

Direct integration with Gmail and Outlook via official APIs brings AI-powered inbox intelligence without disrupting workflows. Automatically categorizes incoming messages into smart folders, surfaces priority inbox sorted by urgency and business importance, summarizes long threads into a few sentences, and drafts contextual replies matching the user's tone and history. Follow-up reminders and calendar-aware scheduling.

5 hours reclaimed per user per week. AI-sorted priority inbox ensures critical messages never buried. Proven time savings for knowledge workers managing high email volume. User privacy by design—all processing via official OAuth APIs, no third-party data storage.