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The OcientAIQ™ Unified Data Platform brings AI directly to petabyte-scale enterprise data so agents, analysts, and applications get trusted answers without moving data across fragmented systems.
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OcientAIQ™ Solutions deliver trusted, production-grade agentic AI outcomes described in the language of your industry, built for the scale your operations require.
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Founded in 2016, Ocient delivers trusted agentic AI solutions through OcientAIQ™, for the organizations that can't afford to get AI wrong.
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For Communications Service Providers
Reliable agentic AI on your telemetry. Engineered for production, not demos.

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.

Full context

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.

Lower costs

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.

Reusable, verifiable answers

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.

Built-in governance

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.

Trusted by CSPs that can’t afford to get it wrong

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.

Agentic pipelines

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.

Governance and quality

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.

Knowledge base

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.

Works with your AI ecosystem

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
Any new network data source becomes a governed data product in days, not months

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.

 

Fuel more use cases with high-volume telemetry feeding governed data products
Security | CISO

Security KPI feed

- Enable hourly board and CISO dashboards for critical threat KPIs
- Push to Splunk for executive team consumption
Network Ops

IMS/EPC assurance baseline

- Convert 12-36 months of historical smart probe data, flow data, and transaction data into custom ML predicting IMS/EPC performance regressions before subscribers feel them.
- Push to Databricks for near real-time user consumption
Legal | Compliance

Compliance audit dataset

- Join immutable access logs, retention, summaries, and data lineage for CALEA, GDPR, and breach-response evidence on schedule
- Push to Snowflake so auditors get a dashboard-ready view, not a raw forensic pull
Network | Autonomy

Cross-domain network state

- Enrich OSS data with APM, BSS, CRM, and more to correlate, predict, and prescribe arc feeds for IBN platforms and the O-RAN RIC
CX | Marketing

Subscriber-experience features

- Integrate call quality (MOS, jitter, loss) and service context data with existing ML feature pipelines in Databricks to detect coverage and QoE gaps by demographic and geography
SOC | AI Agents

Threat intelligence enrichment

- Network flows, behavioral signatures, and C2 attribution graphics to correlate and enrich threat signals at scale faster than analysts can triage manually
- LLM-driven triage agents query the enriched text via MCP and push to Azure Ai/ Vertex AI so SOC teams spend more time on decisions, not data hunting
AI Factory | Ops

GPU & fabric health telemetry

- Correlate signals across GPUs, data fabric, interconnects, schedulers, and storage layers to surface GPU degradation patterns 48-72hrs before XID errors
- Push predictive alerts and utilization insights to BigQuery for ops teams to act on before failures impact workloads
Revenue | Customer Ops

Revenue assurance and NBA feed

- Join subscriber telemetry, billing records, and network state data feeds to detect revenue leakage and model churn risk in near real-time.
- Apply next-best-action scoring across the at-risk base and pushes a clean, enriched feed to Pega CDH / AEP so customer ops teams are working from live signals, not stale batch reports
Autonomous security and intelligence
Autonomous network operations
Customer and revenue assurance
IoT and edge intelligence
Lawful disclosure & compliance
Autonomous security and intelligence

Threats hide where datasets meet

Modern attacks span the network and the IT estate. They show up in IPFIX flows, DNS lookups, OSS event streams, and in MELT data (metrics, events, logs, traces) from every application and infrastructure tier. Ocient unifies all of it on one engine, so threats hiding in cross-domain patterns surface in one query.

  • Trillion-record IPFIX joined with DNS, packet, signaling, and IT MELT data
  • Pre-computed threat intelligence as a governed data product for SOC, MSSP, or SIEM
  • Behavioral baselines and anomaly scoring run native to the data, no ETL, no copies
  • STIX/TAXII export, agent-ready, with lineage on every alert
Autonomous network operations

From dashboards to decisions, made by agents

Closed-loop network operations need data that is fast, fresh, and joined across radio, transport, and core. Ocient unifies the full-fidelity telemetry from every network domain on one governed store, so AI agents can plan, optimize, and execute with the same data that proves the decision was right.

  • Real-time KPIs and SLA tracking on full-resolution RAN, transport, and core telemetry
  • Multi-agent orchestration for capacity, anomaly response, and CapEx decisions
  • Closed-loop intent-based execution, traceable from source telemetry to action
  • Aligned with the TM Forum L4-L5 autonomous networks roadmap
Customer and revenue assurance

Billing that keeps up with the network

5G slicing, IoT subscriptions, B2B2X arrangements, wholesale roaming. Modern monetization generates CDRs faster than legacy billing systems can settle them. Ocient ingests the full stream at full fidelity, joins it to subscriber, network, and product data, and turns billing telemetry into governed products for charging, revenue assurance, and product launch.

  • Real-time CDR analytics joined with subscriber, network, and product data
  • Continuous revenue assurance and fraud detection at full network scale
  • Charging support for slicing, IoT, B2B2X, and wholesale models
  • New product launch in days, not months, on a governed source of truth
IoT and edge intelligence

Decisions happen where device data meets the network

Connected devices generate signals across the edge, the network, and the business systems that depend on them. They show up in device telemetry, connectivity events, application logs, service data, and operational KPIs from every environment. Ocient unifies all of it on one engine, so full-resolution device data turns into operational decisions in seconds.

  • Trillion-record device telemetry joined with network, service, location, and business data
  • Continuously updated edge intelligence with fast query and response at telecom scale
  • Operational baselines and anomaly detection run native to the data, no ETL, no copies
  • Agent-ready device intelligence with governed lineage on every decision
Lawful disclosure & compliance

Compliance moves faster when evidence stays complete

Regulated investigations depend on security, observability, and network data that is both fast to query and preserved at full resolution. They can involve logs, metrics, metadata, threat signals, access records, and operational events from every application and infrastructure tier. OcientAIQ unifies all this information on a single platform, so disclosure, audit, and threat-hunting workflows move in seconds instead of hours.

  • Trillion-record logs, metrics, and metadata joined with security, network, and compliance data
  • Full-resolution evidence retained and queried at production scale without downsampling
  • AI-driven threat hunting and compliance analytics run native to the data, no ETL, no copies
  • Governed disclosure feeds for observability, security, and audit workflows with lineage on every result

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

Turn AI ambition into reality - at carrier scale

See AI running on your CSP data, your use case, and your environment in a live prototype, in days.