teks
By teksAI Security Platform is an inference-level security solution that proactively red-teams your AI & agents, delivers real-time adaptive defense, and offers centralized oversight across every interaction. Deploy with confidence and secure your AI at the speed of innovation stopping unsafe behavior before it spreads. No retraining. No vendor lock-in. Just provable trust.
- Stage
- Prototype
- Industries
- Logistics
- Energy
- Telecom
- Deployment
- Cloud (SaaS)
Why it is worth it
How teks is different: While competitors focus on post-hoc evaluations or static governance, teks operates at the inference and agent level, offering real-time, verifiable trust infrastructure designed for autonomous AI use in decision-critical settings.
- Our AI Trust Layer solves six critical enterprise problems in deploying generative AI:
- Prompt Blocking & Data Leakage:
- Prevents exposure of sensitive or unapproved inputs by sanitizing or rejecting prompts before they reach the model, enforcing compliance from the first interaction.
- Adversarial Vulnerabilities:
- Proactively red-teams AI agents to detect exploitable behavior and hallucinations before deployment, closing gaps before attackers find them.
- Real-Time Threat Prevention:
- An inline “Defend” layer inspects every input at inference time, blocking harmful queries or patterns without relying on model retraining.
- Lack of Visibility & Auditability:
- Provides centralized oversight through an “Observe” dashboard with full trace history, tamper-proof logs, and model usage analytics.
- Latency vs. Security Trade-offs:
- Dynamically adjusts inspection depth based on real-time risk scoring, balancing safety with responsiveness in live environments.
- Compliance Reporting Burden:
- Automatically generates regulator-ready audit trails (e.g., GDPR, HIPAA) from live usage data, removing the manual overhead of documentation.
Opening the deck…
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Best customer profile
- Best Customer Profiles
- Our ideal customers are mid-sized to large enterprises (500+ employees) or public-sector organizations that are:
- Deploying LLMs in regulated, sensitive, or high-stakes environments (e.g., finance, education, legal, gov-tech)
- Require inference-level oversight, auditability, and policy enforcement
- Value traceability, behavior scoring, and hallucination mitigation without retraining models
- Seek to govern AI usage across teams or departments, often through subdomain-based access control and centralized dashboards
- Operate in jurisdictions with rising AI compliance and accountability standards.
- Currently first buyers are e-commerce startups based in Germany (100m+ rev), as they are early adopter for AI tools and workflows, and demand security to meet compliance standards.
- Currently 13 companies in our pipeline.
Notable paying customers
- We are not able to disclose customer names until contracts and purchase orders are finalized. However, we are open to sharing notable logos and references after our Trust Layer MVP reaches GTM stage. Currently, we are in advanced PoC discussions with 13 enterprise prospects.
Dual Product Launch (Access Layer): Successfully built and deployed two AI access products designed for low-connectivity environments, enabling data collection from high-variance, underrepresented user bases in the Global South (e.g., Philippines, Brazil). Strategic Data Moat: Collected diverse behavioral and linguistic data from >4,700 users to inform trust scoring, alignment risk modeling, and real-world validation—powering the development of our Trust Layer. Trust Layer MVP Near Completion: Trust Layer product, including trace logging, prompt monitoring, and compliance tooling, will reach MVP status within the next 2 months. Customer Pipeline Traction: Active pipeline of 13 enterprise prospects (with $100M+ annual revenue), exploring AI security and governance deployments via paid PoCs or enterprise pilots.