Products in AI & Data

The legal landscape in Ethiopia is constantly evolving, making it difficult for anyone to stay updated on the latest proclamations and cassation rulings. Negarit solves this with a 100% AI-based research tool powered by a vast, ever-expanding database. By automating the search across a massive corpus of laws, it provides students, citizens, and lawyers with instant, accurate answers from a source that never goes out of date.

Currently, 90% of Ethiopian restaurants rely on outdated legacy systems or manual pen-and-paper because modern hardware is too expensive. This causes slow table turnover, lost revenue, and major language barriers between front-of-house staff and the kitchen. TableTap solves this by operating entirely in the cloud. It is a 100% hardware-free order management platform where waitstaff use their own smartphones to process orders in native Amharic. These commands are instantly sent to a digital Kitchen Display System, effectively acting as an autonomous digital employee that speeds up service and eliminates order errors without the need for a single piece of proprietary hardware.

Dala Studio is the only platform where you can build apps, games, comics, music, videos, marketing campaigns, and AI agents. All from one account. No coding. No jumping between tools. We're not promising "easy." We're promising possible — for Africans, by Africans. So if you're tired of global tools that don't understand your language, your payments, or your market? Click. If you want to stop consuming AI and start building with it? Click. If you just want to see what happens when 105,000 African creators get access to the same AI power as Silicon Valley? Click. One line promise: One account. Unlimited creation.

EHUD AI is an all in one creative platform that helps filmmakers, artists, architects, and businesses turn ideas into cinematic AI generated content. From scriptwriting and image generation to video production and storytelling, EHUD AI makes advanced creative tools accessible to everyone. Our mission is to empower African and global creators to produce Hollywood level visuals, films, marketing content, and digital experiences faster, more affordably, and without technical barriers.

While you were offline, AI reshaped the world. We caught every move — so you don't have to. 2 minutes. Every day. On your schedule.

AI agents lack the proper grounding and often hallucinate, they also lack the proper tools to conduct deep research. We're very excited to launch the long awaited ScholarXIV MCP today. This MCP provides >30 tools and connects your AI agents and clients directly to ScholarXIV giving it access to our full suite of research tools. Features • Search papers by title, author, abstract, category, or keyword • Read full metadata and abstracts • Bookmark, like, and comment on papers • Create and manage paper collections • Browse and join public collections from other researchers • Create and manage your ScholarXIV Ch.

The problem: Giving AI agents real tool access (delete records, move money, send messages, deploy code) means trusting them with a blank check. Traditional authorization — OPA, Casbin, AWS Verified Permissions, Okta — only answers "is this agent allowed to do X?" They can't catch the dangerous case: a legitimately authorized agent that's been manipulated into doing the wrong thing — through prompt injection in the data it's processing, a low-confidence/hallucinated decision, or anomalous behavior. "Authorized but wrong" is exactly the failure mode that makes agent autonomy risky in production. How Lelu solves it: Every agent action flows through one authorization call that returns one of four outcomes instead of just allow/deny: allow — proceed deny — blocked human_review — pause, a human approves, the agent resumes compute — reroute to a safer/sandboxed alternative Behind that call is a layered pipeline: a prompt-injection filter → a confidence gate (using verified LLM token log-probs where available, failing closed when they aren't) → policy evaluation (YAML or OPA/Rego) → a risk score (criticality × (1 − confidence) × reliability × anomaly_factor) → a most-restrictive-wins merge so any single layer can only make a decision stricter, never looser → an audit log of every decision. Around it sits agent identity (RS256 workload JWTs / OIDC), an MCP OAuth 2.1 server, and an encrypted OAuth token vault. The result: every action is checked, every decision is logged, and a human is pulled in exactly when it matters — without changing how you build the agent (one SDK call).

BugSight is an AI-powered QA assistant that transforms screenshots of UI bugs into developer-ready bug reports in seconds. It automatically detects issues, extracts error details, assigns severity and priority, suggests possible root causes, and generates structured reports that can be exported to tools like Jira or GitHub. This saves QA teams time, improves report quality, and speeds up bug resolution.

Building a startup in Ethiopia is uniquely challenging due to a critical Information Gap." Founders often struggle with three major obstacles: 1. Regulatory Complexity: Navigating National Bank of Ethiopia (NBE) directives, sector-specific proclamations, and the new Startup Proclamation is often a manual, confusing process that requires expensive legal counsel. 2. Lack of Localized Data: Generic AI models and global benchmarks do not reflect the Ethiopian reality—from Akaki warehouse rents and Bole office costs to local smartphone penetration and mobile money adoption rates. 3. Execution Uncertainty: Founders often lack a "high-conviction" roadmap, leading to wasted capital on business models that aren't legally viable or operationally grounded in the local context. JemirUp is a specialized intelligence platform designed to bridge this gap. It solves these problems through three core pillars: 1. High-Conviction Startup Validation: JemirUp doesn't just give generic advice. It uses a proprietary scoring engine to analyze a startup idea across five dimensions: Market Viability, Regulatory Compliance, Unit Economics, Innovation Angle, and Execution Complexity. It provides founders with a deep-dive analysis, identifying "red flags" early—such as foreign investment restrictions or minimum capital requirements—before they spend a single Birr. 2. The Research Studio (Localized RAG): Powered by advanced "Retrieval-Augmented Generation" (RAG), our Research Studio is seeded with a verified library of Ethiopian policies, strategies, rule and regulations, directives, and development plans (like Digital Ethiopia 2030). 3. Localized Benchmarking & Unit Economics: The platform is grounded in real-world Ethiopian numbers. It provides pre-seeded benchmarks for How it Works: JemirUp utilizes a sophisticated "Multi-Agent" architecture. When a user submits a query, an orchestrator routes the task to specialized AI agents. One agent might scan the regulatory library for legal risks, while another pulls market benchmarks for financial modeling. A final "Verification Engine" then checks the response against our "Ground Truth" data to ensure the advice is accurate and grounded in the Ethiopian context.