For Communications Service Providers
AI tools are probability machines. CSP networks need answers that are right, not just probable. OcientAIQ™ turns probabilistic agents into production systems on your data, at carrier scale. Deploy anywhere – on prem, public cloud, or OcientCloud®. Priced by capacity, not by query, delivering huge savings. Business-ready outputs engineered for the AI ecosystem of your choice.
Trusted data infrastructure for enterprise AI
OcientAIQ delivers outcomes that compound as you scale, with the economics and the audit posture that match a CSP-grade buyer.
OcientAIQ gives agents the structured context they need before they act. Instead of relying only on embeddings, sampled extracts, or stale summaries, agents can query context-ready knowledge built from full-resolution enterprise data—so answers reflect the real operational picture, not a reduced version of it.
OcientAIQ delivers best-in-class price-performance for production AI by transforming full-resolution enterprise data into governed, platform-computed context before it reaches the model. Agents use that context instead of filling prompts with raw data, schemas, and intermediate results, reducing token waste, lowering model costs, and shifting more processing onto predictable, capacity-based infrastructure.
OcientAIQ does the heavy lifting once, then turns trusted results into reusable data products for teams, tools, applications, and AI workflows. Every answer remains explainable and traceable, so teams can see how a result was reached, identify the exact data behind it, and verify the reasoning path before acting.
OcientAIQ embeds governance directly into the data context agents use to generate answers. With lineage and provenance built in from the start, teams can support EU AI Act and GDPR programs, verify the data behind each response, and add human review where risk, regulation, or business impact require it.
“I have worked in this industry since the mid-90s and been involved in countless projects with third-party vendors. This experience with Ocient has been the most rewarding – not only for the product itself exceeding expectations, but for the outstanding support we received throughout the entire process.”
Replaced a legacy fraud detection system that timed out at petabyte scale
“It’s truly been a rewarding year working with your team as we continue to advance our analytics, mediation and capabilities in line with evolving industry standards and data-processing requirements. We trust Ocient to understand our business needs and deliver solutions tailored to them, and I genuinely appreciate the partnership, the consistent support, and the engagement throughout the year.”
“We work with partners that are global leaders in large-scale data technologies and continue to invest in research and development to enable a high-performance analytics ecosystem that is more secure, efficient, and environmentally responsible – supporting operators’ growth and profitability,”
Meet us at DTW Ignite in Copenhagen on June 23-25
Learn more about OcientAIQ in Room EEE or visit us on the show floor at Booth 327.
Helping CSPs turn network data into smarter CapEx Decisions
Ocient is partnering with other industry leaders to demonstrate how telecom operators can use large-scale network, customer, and business data to make better decisions about where to invest next. The project helps CSPs compare rollout options across mobile, fiber, transport, and core networks, with planning decisions grounded in cost, customer experience, ROI, and better use of existing assets. OcientAIQ supports the work by helping analyze the large, complex datasets required for this kind of planning as part of TM Forum’s E2E Multi-Agent Smart Network CapEx – Phase III Catalyst.
Reliable agentic AI starts with governed telemetry
Most platforms treat agentic AI as a feature you turn on. At carrier scale, that does not hold. Network telemetry is too big and too raw for an LLM to reason over directly, and a “probably right” answer is not good enough when the question is “did this transaction commit fraud?” or “where is the network actually about to fail?”
OcientAIQ was built for this. Reliable agentic AI does not come from picking the right model. It comes from engineering the structure around the model. OcientAIQ gives agentic AI the three things it needs to work reliably on network telemetry: agentic pipelines, governance, and a knowledge base.
OcientAIQ enables agents to discover new data sources, build and validate data products, monitor quality, and deliver answers with lineage attached. As use cases evolve, the system keeps pipelines current and trusted.
OcientAIQ validates data at ingest, rejects bad inputs, and prevents ungoverned outputs from leaving the platform. Schema, vocabulary, lineage, and audit controls give teams the quality and traceability they need to use AI with confidence.
OcientAIQ captures what your data means, how subscribers, cells, sessions, and threats relate, and where each fact originated. Agents use this governed map to reason with context, rather than searching through raw telemetry.
The OcientAIQ Unified Data Platform turns raw network data into usable context, while governance, quality, and agentic automation add the controls needed to trust the output. OcientAIQ builds and maintains that structure so teams can bring their own agents and put them to work on production analytics, not just demos.
How telemetry data flows through OcientAIQ
Telemetry as a service is how OcientAIQ turns any new network data source (a probe feed, a signaling stream, an OSS event log) into a governed data product. Each product carries its own schema, SLA, access model, and full lineage back to the source records that produced it, so every AI answer is auditable and every data set is trustworthy. Products are tailored to a use case, can be extended, and can be composed with each other to build new ones.
Security KPI feed
IMS/EPC assurance baseline
Compliance audit dataset
Cross-domain network state
Subscriber-experience features
Threat intelligence enrichment
GPU & fabric health telemetry
Revenue assurance and NBA feed
Built for full-fidelity joins at AI speed
For Telemetry as a Service, the knowledge base, and the agent-ready data products to be effective, you need an engine that can join petabyte data sets at full fidelity, in seconds. Most platforms ask you to pre-aggregate, sample, or move data so joins stay tractable. That’s not the case with the OcientAIQ Unified Data Platform. The same query that times out on a SIEM or runs for hours on a general-purpose warehouse returns in seconds on OcientAIQ — because the platform was built for the joins AI depends on.
Aligned with open CSP industry standards
