What we do

Verascient is building the operating system for AI-native companies: a temporal knowledge graph and agent infrastructure that connects emails, meetings, documents, customer records, and projects into a single, governed, source-grounded view of how a business actually works. Every answer provided by our platform links directly back to its source.

Alongside our core software platform, we deploy forward-deployed engineers into enterprise environments—across financial services, wealth management, and logistics—to help businesses redesign their processes around AI, deploy our products, and build custom tools and integrations.

Why Work For Us

Outsized Ownership from Day One: You’ll work directly alongside the founders on non-trivial problems with no established playbook, owning significant surface areas of our core product. Backing from Top Global Investors: We raised an oversubscribed $1.2M (R19.5M) pre-seed round led by Founder Collective (early investors in Uber, Airtable, and Whoop), alongside Cambridge Enterprise, Andrena Ventures, Summit Ventures, and prominent tech angels.

Build Real Software, Not Academic Papers: This isn't a theoretical research lab. You will build, ship, and own production-grade AI infrastructure and multi-agent protocols deployed directly into enterprise and on-premises systems. Competitive Compensation & Equity: We offer market-leading salary bands plus equity options so you share directly in the upside.

Our Culture

We are a small, elite team in Cape Town hiring top technical talent in South Africa. We operate with minimal bureaucracy, tight customer proximity, rapid test-and-learn cycles, and uncompromisingly high standards. A recurring question around here is: "What would have to be true for us to do this in half the time?"

We value unusually high agency, curiosity, and decisive judgment under incomplete information. If you want a narrow role with lots of structure, Verascient isn't the right fit. But if you want to help invent how future companies are built alongside a hyper-ambitious team, you’ll do the best work of your life here.

Our Engineering Processes

• Core Tech Stack: Python backends, Large Language Models (LLMs), agentic workflows (MCP), temporal knowledge graphs, vector databases, containerised deployments, and cloud/on-premise enterprise infrastructure.
• End-to-End Ownership: You design, build, test, ship, and monitor core features end-to-end—from graph retrieval and agent tooling down to the APIs and cloud infrastructure.
• Focus on Reliability & Provenance: Because we deploy inside regulated enterprise environments (including major banks), reliability, role-based security, dynamic ontology, and audibility are non-negotiable.
• Aggressive Tooling Use: We expect you to use AI agents and developer tools aggressively to amplify your output, but we expect you to deeply understand and stand behind everything you ship.