AI Solution

Peace of mind for your business — end-to-end AI solutions that optimize operations, elevate customer experience, and accelerate growth.

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AI Gateway
AI Marketing
AI Security

Three AI pillars accelerating digital transformation

Centralized model & API governance, data-driven marketing optimization, and proactive real-time security — all in a seamless AI ecosystem.

↑ 35% model efficiency
↓ 28% inference cost
+42% campaign ROI
~0.9s response time

AI Gateway

A unified AI gateway: connect multiple models, manage APIs/keys, enable smart routing and deep observability — all from one dashboard.

  • Multi-provider integration (OpenAI, Anthropic, local LLMs…)
  • Team policies & quotas, key rotation, audit logs
  • A/B routing, automatic fallback, metrics & alerts
Multi-tenant Observability Cost Control
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AI for Marketing Team

From creative generation to budget optimization — AI tools that power deep personalization, higher conversion, and better ROI.

  • Omnichannel content (ads, email, social) tailored to personas
  • Behavior prediction & ML-based segmentation, look-alike audiences
  • Automated A/B testing and performance-based budget allocation
Personalization Attribution Auto A/B
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AI Security

Proactive defense with real-time anomaly detection, endpoint protection, and automated incident response.

  • UEBA/anomaly detection for advanced threats
  • EDR/XDR: protect endpoints, containers, and APIs
  • Automated playbooks, alerts, and compliance reporting
Real-time Threat Intel Compliance
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Quick answers about the 3 AI tools

Pick a pillar to see common questions about integration, data, cost, and operations.

G Which providers/models does AI Gateway support?
Flexible integrations with OpenAI, Anthropic, Google, Azure, self-hosted LLMs (e.g., Llama/MLC), and vision/embedding models. New providers can be added via plugins/adapters.
G Does it support A/B routing and automatic fallback?
Yes. Configure rules by latency/cost/accuracy. When the primary model fails or exceeds quota, the system switches to a fallback route and logs everything for analysis.
G How are access control and API keys managed?
RBAC by team/project, per-key quotas, scheduled key rotation, IP allowlists, and complete audit logs to meet compliance and audit requirements.
G How do we observe and optimize cost/performance?
Dashboards for tokens, latency, error rates; threshold-based alerts; export to Prometheus/Grafana/Datadog. Reports help pick the most cost-effective models.
M Can generated content stay on-brand?
Yes. Use style guides, example sets, and tone-of-voice constraints. You can lock sensitive vocabulary, require internal review flows, and add watermarks to control outputs.
M Is customer data safe and compliant?
Data is partitioned by workspace, encrypted in transit and at rest, supports pseudonymization/anonymization, and offers “no-training” options.
M What impact on real KPIs like CTR/CR/ROI?
Channel-level attribution tracking, automated A/B testing, and performance-based budget allocation. Before-and-after reports quantify improvements in CTR/CR/ROAS.
M What minimum data is needed to start?
At least: basic behavioral events (view/click/purchase), anonymous identity (cookie/id), and campaign metadata. With sparse data, it still works for generic suggestions.
S How does anomaly detection (UEBA) work?
Models learn user/device routines over time and alert on significant deviations (time, location, access volume, API behavior, etc.).
S How do EDR/XDR integration and auto-response work?
Collect signals from endpoints, containers, k8s, and API gateways; unify into timelines; trigger playbooks (isolate host, revoke tokens, block IPs) based on risk scores.
S How to reduce false positives and manage alerts?
Use adaptive thresholds, context-aware allowlists, and SOC feedback loops to fine-tune. A “learning” mode is available before enabling automatic blocking.
S Which compliance standards are supported?
Reporting and guardrails for ISO 27001, SOC 2, GDPR/HIPAA (plan-dependent); full audit trails; regional data policies (data residency).
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