AI Engineering · Routing · SecurityAI 工程 · 智能路由 · 安全防护

Build, Route & Secure
Your AI Infrastructure
构建、调度与守护
你的 AI 基础设施

Telixus is an AI engineering and security company. We build enterprise AI applications, operate an intelligent multi-model routing gateway, and provide end-to-end security evaluation and protection for large language models and AI agents. Telixus 是一家 AI 工程与安全公司。我们为企业构建 AI 应用,运营智能多模型路由网关,并为大语言模型与 AI 智能体提供端到端的安全测评与防护。

99.9%
Gateway availability target网关可用性目标
10+
Upstream model providers上游模型服务商
Token
Level metering & billing级用量计量与计费
24/7
Monitoring & failover监控与故障转移
Global
Clients served from Singapore立足新加坡,服务全球
Solutions解决方案

Four Pillars, One AI Lifecycle四大板块,覆盖 AI 全生命周期

From building AI applications, to routing every model call, to evaluating and protecting the models and agents behind them — Telixus covers the complete journey. 从构建 AI 应用,到调度每一次模型调用,再到测评与防护背后的模型与智能体——Telixus 覆盖完整链路。

AI Application DevelopmentAI 应用开发

Enterprise AI applications engineered for production — not demos.面向生产环境的企业级 AI 应用工程化交付,而非演示原型。

  • LLM apps & RAG knowledge systems大模型应用与 RAG 知识库系统
  • Agent systems & workflow automationAgent 系统与工作流自动化
  • Multimodal: vision, speech, documents多模态:视觉、语音、文档理解
  • Fine-tuning & private deployment模型微调与私有化部署
  • LLMOps: eval, observability, CI/CDLLMOps:评测、可观测性与持续交付
Learn more →了解更多 →

AI Intelligent Routing GatewayAI 智能路由网关

One endpoint for every model, with smart routing and precise billing.一个接入点连接所有模型,智能调度与精确计费。

  • Unified API across major providers统一 API 接入主流模型服务商
  • Smart routing, load balancing, failover智能路由、负载均衡与故障转移
  • Token-level metering & billingToken 级用量计量与计费
  • Quotas, rate limits & key management配额、速率限制与密钥管理
  • Usage analytics & audit logging用量分析与审计日志
Learn more →了解更多 →

LLM Security — Evaluation & ProtectionAI 安全 — 大模型测评与防护

Know how your models fail, then stop them from failing in production.先摸清模型的失效方式,再在生产环境阻止它发生。

  • Red teaming & jailbreak assessment红队测试与越狱评估
  • Prompt-injection & data-leak testing提示注入与数据泄露检测
  • Safety & robustness benchmarking内容安全与鲁棒性基准评测
  • Runtime guardrails & output filtering运行时护栏与输出过滤
  • Sensitive-data (DLP) & abuse controls敏感数据防泄漏与滥用管控
Learn more →了解更多 →

Agent Security — Evaluation & Protection智能体测评与防护

AI agents act. We make sure they act safely, within policy, under audit.智能体会真正执行动作。我们确保它们在策略与审计约束下安全行动。

  • Agent red teaming & behavior evalsAgent 红队测试与行为评估
  • Tool-call & MCP supply-chain review工具调用与 MCP 供应链审查
  • Least-privilege tool permissions工具权限最小化设计
  • Sandboxed execution & approval gates沙箱执行与人工审批关卡
  • Runtime behavior monitoring & audit运行时行为监控与审计追踪
Learn more →了解更多 →
AI Intelligent Routing GatewayAI 智能路由网关

One Endpoint.
Every Model. Routed Intelligently.
一个接入点,连接所有模型
由智能路由调度

The Telixus AI Gateway sits between your applications and upstream AI providers — Anthropic, OpenAI, Google Gemini and more — handling authentication, intelligent routing, billing, load balancing and failover, so your team ships features instead of plumbing. Telixus AI 网关位于你的应用与上游 AI 服务商(Anthropic、OpenAI、Google Gemini 等)之间,统一处理鉴权、智能路由、计费、负载均衡与故障转移,让团队专注业务功能而非基础设施。

  • Smart routing:智能路由: route by model, cost, latency or availability, with automatic fallback across providers.按模型、成本、延迟或可用性调度,跨服务商自动 fallback。
  • Multi-account upstreams:多上游账号: OAuth / API-key pools with sticky sessions, health checks and concurrency control.OAuth / API Key 账号池,支持粘性会话、健康检查与并发控制。
  • Precise billing:精确计费: token-level usage tracking, quotas, rate limits and self-service top-up with built-in payments.Token 级用量追踪、配额与速率限制,内置支付自助充值。
  • Full observability:全面可观测: per-request metadata, latency, cost and error analytics, exportable audit logs.请求级元数据、延迟、成本与错误分析,审计日志可导出。
Get Your API Key获取 API Key
# Point your client at the Telixus gateway
export ANTHROPIC_BASE_URL="https://gateway.telixus.co"
export ANTHROPIC_AUTH_TOKEN="sk-telixus-****"

curl https://gateway.telixus.co/v1/messages \
  -H "x-api-key: $ANTHROPIC_AUTH_TOKEN" \
  -d '{"model":"claude-sonnet-5", ...}'

# OpenAI-compatible endpoint, same key
curl https://gateway.telixus.co/v1/chat/completions \
  -H "Authorization: Bearer $ANTHROPIC_AUTH_TOKEN" \
  -d '{"model":"gpt-5", ...}'
AI SecurityAI 安全

LLM Evaluation & Protection大模型测评与防护

Large language models fail in ways traditional software never did: jailbreaks, prompt injection, data leakage, hallucination. We measure those failure modes before attackers find them — then deploy runtime defenses that hold in production. 大模型的失效方式是传统软件从未有过的:越狱、提示注入、数据泄露、幻觉。我们在攻击者之前量化这些失效模式,再部署经得起生产考验的运行时防御。

Evaluation测评

Know Your Model's Weaknesses摸清模型的薄弱环节

Structured adversarial assessment of LLM applications and pipelines, mapped to recognized frameworks.面向大模型应用与流水线的结构化对抗性评估,对标业界公认框架。

  • Red teaming:红队测试: manual + automated adversarial attacks against your real application surface针对真实应用面的人工与自动化对抗攻击
  • Jailbreak & injection:越狱与注入: direct/indirect prompt-injection suites, cross-context and multi-turn attacks直接/间接提示注入测试集,跨上下文与多轮攻击
  • Data-leakage testing:数据泄露检测: system-prompt extraction, PII disclosure, training-data regurgitation probes系统提示词提取、个人信息泄露、训练数据复述探测
  • Safety benchmarks:安全基准: harmful-content, bias and robustness scoring with reproducible reports有害内容、偏见与鲁棒性量化评分,报告可复现
  • Compliance review:合规评估: gap analysis aligned with OWASP LLM Top 10, NIST AI RMF and EU AI Act readiness对标 OWASP LLM Top 10、NIST AI RMF 与欧盟 AI 法案的差距分析
Protection防护

Defenses That Hold in Production经得起生产考验的防御

Runtime security controls deployed in front of — and inside — your AI systems.部署在 AI 系统之前与内部的运行时安全控制。

  • Guardrails:运行时护栏: input/output policy enforcement, topic and instruction filtering at the gateway layer网关层的输入/输出策略执行、主题与指令过滤
  • Sensitive-data protection:敏感数据防护: PII detection, redaction and DLP for prompts and completions面向输入与输出的个人信息识别、脱敏与防泄漏
  • Abuse detection:滥用检测: anomaly signals, rate-based controls, automated key suspension异常信号识别、频控策略与密钥自动熔断
  • Policy engine:策略引擎: per-tenant, per-key and per-model rules, centrally managed and audited租户级、密钥级与模型级规则,集中管理与审计
  • Incident response:事件响应: forensics-ready logging and response playbooks for AI-specific incidents具备取证能力的日志体系与 AI 场景事件响应预案

Our assessments and controls are aligned with recognized industry frameworks:我们的测评与防护体系对标业界公认框架:

OWASP LLM Top 10
NIST AI RMF
MITRE ATLAS
EU AI Act readiness合规准备
ISO/IEC 42001 practices实践参考
Agent Security智能体安全

AI Agent Evaluation & Protection智能体测评与防护

Agents don't just generate text — they call tools, browse, write code and move data. Every tool is an attack surface, and every autonomous step needs a control. We secure the full agent loop. 智能体不只是生成文本——它们调用工具、访问网络、编写代码、搬运数据。每个工具都是攻击面,每一步自主行为都需要管控。我们守护智能体的完整执行闭环。

Evaluation测评

Test Agents Like Adversaries Will以攻击者的方式测试智能体

  • Agent red teaming:Agent 红队: goal-hijacking, indirect injection via web/email/file content, cross-agent manipulation目标劫持、经由网页/邮件/文件内容的间接注入、跨智能体操纵
  • Tool-call security testing:工具调用安全测试: privilege escalation, destructive-action probes, parameter-tampering suites权限提升、破坏性操作探测、参数篡改测试集
  • Multi-step robustness:多步任务鲁棒性: long-horizon task evals, loop/runaway detection, failure-recovery behavior长链路任务评估、死循环/失控检测、故障恢复行为
  • Supply-chain review:供应链审查: MCP servers, plugins and third-party tool audits before they enter your stackMCP 服务器、插件与第三方工具在接入前的安全审计
  • Behavior scoring:行为评分: policy-adherence and safety metrics tracked across versions and model upgrades跨版本与模型升级持续追踪的策略遵从与安全指标
Protection防护

Contain What You Deploy让部署的智能体始终可控

  • Least privilege:权限最小化: per-tool, per-scope permissions; agents get exactly the access the task needs工具级、范围级授权,智能体仅获得任务所需的最小权限
  • Sandboxed execution:沙箱执行: isolated runtimes for code execution, browsing and file operations代码执行、网络访问与文件操作运行于隔离环境
  • Approval gates:审批关卡: human-in-the-loop checkpoints for irreversible or high-impact actions对不可逆或高影响操作设置人工确认节点
  • Runtime monitoring:运行时监控: real-time behavior tracing, anomaly alerts and automatic kill-switches实时行为追踪、异常告警与自动熔断机制
  • Full audit trail:完整审计: every tool call, decision and data access logged for compliance and forensics每次工具调用、决策与数据访问均留痕,支撑合规与取证
AI Application DevelopmentAI 应用开发

From Idea to Production AI从想法到生产级 AI 应用

We design, build and operate AI systems for enterprises — LLM applications, RAG knowledge platforms, agent workflows and multimodal products — with security engineered in from day one. 我们为企业设计、构建并运营 AI 系统——大模型应用、RAG 知识平台、Agent 工作流与多模态产品——安全能力从第一天就内建其中。

Discover需求洞察

Use-case scoping, feasibility and ROI assessment, model selection strategy.场景梳理、可行性与投入产出评估、模型选型策略。

Design方案设计

Architecture, data pipelines, evaluation criteria and security threat modeling.架构设计、数据管道、评测标准与安全威胁建模。

Build开发实现

Agile delivery with continuous evals — prompts, RAG, fine-tuning, agents, UI.敏捷交付与持续评测——提示工程、RAG、微调、Agent 与界面。

Harden安全加固

Red teaming, guardrail deployment and pre-launch security sign-off.红队测试、护栏部署与上线前安全验收。

Operate持续运营

Monitoring, cost optimization, model upgrades and ongoing evaluation.监控告警、成本优化、模型升级与持续评测。

Trust Center信任中心

Transparency & Responsible AI透明度与负责任的 AI

We believe AI infrastructure must be transparent about what it is, what it does with your data, and where its limits are. Everything we disclose lives here. 我们相信 AI 基础设施必须坦诚地说明:它是什么、如何处理你的数据、边界在哪里。所有披露信息都汇总于此。

AI Clarifications — Plain AnswersAI 澄清 — 直接的回答

Common questions about how our AI services actually work.关于我们 AI 服务实际运作方式的常见问题。

Does Telixus build the AI models behind the gateway?网关背后的 AI 模型是 Telixus 自己研发的吗?
No. The Telixus gateway routes requests to upstream models operated by third-party providers such as Anthropic, OpenAI and Google. Telixus is an independent company and is not affiliated with, endorsed by, or acting on behalf of these providers. Model responses are generated by the upstream provider and are subject to their terms and policies.不是。Telixus 网关将请求路由至 Anthropic、OpenAI、Google 等第三方服务商运营的上游模型。Telixus 是独立公司,与这些服务商不存在关联、代理或背书关系。模型响应由上游服务商生成,并受其条款与政策约束。
Can AI outputs from the platform be trusted as-is?平台产出的 AI 内容可以直接采信吗?
No AI output should be relied on without review. Outputs may be inaccurate, incomplete, outdated or biased. For legal, medical, financial, safety-critical or other high-impact decisions, qualified human review is required — see our Responsible AI statement.任何 AI 输出都不应在未经审核的情况下直接采信。输出可能不准确、不完整、过时或存在偏见。法律、医疗、金融、安全关键等高影响决策必须经过合格的人工审核——详见负责任 AI 声明
Is my prompt content used to train models?我的请求内容会被用于训练模型吗?
Telixus does not train foundation models and does not use your prompts or outputs to train any model of our own. By default the platform does not store raw prompt/response content in ordinary logs; to fulfil your request, content is transmitted to the upstream provider you selected, under their policies. Details are in our Privacy Policy.Telixus 不训练基础模型,也不会将你的请求或输出用于训练我们自己的任何模型。平台默认不在普通日志中保存原始请求/响应内容;为完成调用,内容会传输至你所选择的上游服务商,并受其政策约束。详见隐私政策
What data does the gateway keep about my requests?网关会保留我请求的哪些数据?
Operational metadata only, by default: request ID, model, token counts, latency, status and cost — the data needed for billing, security and troubleshooting. Raw content logging is off by default and only enabled in narrowly scoped, access-controlled situations such as abuse investigation or user-requested diagnostics.默认仅保留运营元数据:请求 ID、模型、Token 数、延迟、状态与费用——即计费、安全与故障排查所需的数据。原文日志默认关闭,仅在滥用调查或用户主动要求诊断等严格限定、受访问控制的情况下启用。
Who owns the AI outputs I generate?我生成的 AI 输出归谁所有?
You retain your rights to your inputs. Rights in AI outputs depend on the upstream model provider's terms, your account type and applicable law — Telixus does not claim ownership of your outputs. You are responsible for ensuring you have the right to use, publish or commercialize them.你保留对输入内容的既有权利。AI 输出的权利取决于上游模型服务商的条款、你的账户类型与适用法律——Telixus 不主张对你的输出拥有所有权。你需自行确保有权使用、发布或商业化这些输出。
Are your security assessments certifications?你们的安全测评等同于认证吗?
No. Our evaluations are aligned with recognized frameworks (OWASP LLM Top 10, NIST AI RMF, MITRE ATLAS, EU AI Act readiness) and produce evidence-based reports, but they are professional assessments, not government or certification-body accreditations, unless explicitly stated in an engagement.不是。我们的测评对标业界公认框架(OWASP LLM Top 10、NIST AI RMF、MITRE ATLAS、欧盟 AI 法案合规准备),产出基于证据的报告;但除非在具体合同中明确说明,它们是专业评估服务,而非政府或认证机构颁发的认证。
Company关于我们

Engineering Trust into AI为 AI 注入可信的工程能力

Telixus is headquartered in Singapore and serves clients globally. We exist because the AI era needs builders who treat security as a first-class engineering discipline — not an afterthought. Telixus 总部位于新加坡,服务全球客户。我们的存在,是因为 AI 时代需要把安全当作一等工程学科、而非事后补丁的建设者。

Security First安全优先

Every system we build or route is threat-modeled, tested and monitored. We hold our own infrastructure to the standards we assess others against.我们构建与调度的每个系统都经过威胁建模、测试与监控。我们用评估他人的标准要求自己的基础设施。

Engineering Excellence工程卓越

Production-grade delivery: measured availability, reproducible evaluations, token-accurate billing, honest post-mortems.生产级交付标准:可度量的可用性、可复现的评测、精确到 Token 的计费、坦诚的故障复盘。

Radical Transparency彻底透明

Clear disclosure of what our AI services do, where third-party models are involved, and what the limits are. No black boxes sold as magic.清晰披露我们的 AI 服务做什么、哪些环节涉及第三方模型、边界在哪里。不把黑箱包装成魔法出售。

Contact联系我们

Work With Us与我们合作

Tell us about your AI project, gateway needs or security requirements.欢迎洽谈 AI 项目开发、网关接入或安全服务需求。

Business & Partnerships商务与合作

Projects, solutions, enterprise agreements项目合作、解决方案、企业协议

admin.sg@telixus.co

Support, Privacy & Legal支持、隐私与法务

Platform support, data requests, abuse reports平台支持、数据请求、滥用举报

support@telixus.co

Gateway Console网关控制台

Self-service: keys, usage, billing自助服务:密钥、用量、账单

gateway.telixus.co