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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

AI solutions that work in production. At enterprise scale.

OcientAIQ Solutions help enterprises transform massive, high-velocity data streams into trusted intelligence, powering near real-time answers and AI-ready insights without moving data or rebuilding infrastructure.  

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
Threat detection and response
Network operations
Customer and revenue operations
IoT and edge intelligence
Lawful disclosure & compliance
Factory operations
Threat detection and response

Find the threats your SIEM can’t retain

Carrier security teams need to investigate threats that move slowly, hide in weak signals, and span more telemetry than the SIEM can economically retain. OcientAIQ sits beneath the SOC as a full-fidelity analytics layer, keeping network and IT telemetry queryable across long horizons so teams can correlate signals, reconstruct activity, and send curated detections back into existing SIEM, SOAR, and response workflows.

  • Full-fidelity IPFIX, NetFlow, DNS, DHCP, signaling, endpoint, firewall, proxy, and application telemetry retained across the investigation window
  • Cross-domain correlation to reconstruct activity from network, DNS, signaling, endpoint, and application events
  • Historical baselining and threat-pattern detection across months or years of retained telemetry
  • Forensic evidence, drill-back links, and lineage behind every finding delivered into existing SOC workflows
Network operations

From fragmented telemetry to ranked actions

Closed-loop network operations need more than dashboards. They need full-fidelity telemetry joined across RAN, transport, core, OSS, EMS, signaling, change, and subscriber impact. OcientAIQ creates one governed foundation for cross-domain network intelligence, so operations teams can detect degradation earlier, find root cause faster, and hand off ranked recommendations to the NMS, IBN, RIC, and automation systems they already use.

  • Full-fidelity RAN, transport, core, OSS, EMS, BSS, signaling, and subscriber-impact telemetry in one analytical foundation
  • Cross-domain correlation of topology, alarms, counters, changes, and customer impact without manual engineering
  • Historical baselines to surface outage precursors, capacity pressure, and service degradation before customer impact
  • Traceable recommendations with lineage and context for intent-based operations and post-incident review
Customer and revenue operations

Customer and revenue operations that keep up with the network

5G slicing, IoT, B2B2X, wholesale settlement, and roaming generate records across systems, cycles, and data domains. OcientAIQ ingests CDR and usage records at full fidelity, joins them with subscriber, product, billing, settlement, and network-quality data, and turns live revenue signals into governed data products for assurance, fraud detection, retention, and next best action.

  • Real-time customer 360 across usage, billing, contract, and network-quality signals
  • Continuous revenue assurance, leakage recovery, and fraud detection at full network scale
  • Charging and settlement support for slicing, IoT, B2B2X, wholesale, and roaming models
  • Network-aware churn scoring and NBO/NBA signals from a governed source of truth
IoT and edge intelligence

See what full fidelity changes for your fleet

Connected vehicles, smart meters, industrial sensors, and consumer IoT devices generate massive volumes of high-cardinality telemetry — but sampling and aggregation erase the long-tail signals that reveal faults, failures, security risks, and usage patterns. OcientAIQ retains full-fidelity device, edge, and core telemetry on one governed platform, so CSPs can improve fleet observability, predict maintenance needs, measure SLA performance, and turn IoT data products into new revenue.

  • Full-fidelity device, edge, and core telemetry retained without sampling or aggregation loss
  • Device-fleet observability across health, connectivity state, usage history, and operational context
  • Anomaly, fault, and predictive-maintenance analytics on the complete event history
  • IoT-segment SLA evidence, SIM lifecycle analytics, and usage insights with lineage to source records
Lawful disclosure & compliance

Compliance moves faster when every disclosure is defensible

Lawful disclosure teams need to respond quickly to warrants, subpoenas, court orders, emergency requests, and audits — without turning every tower dump or subscriber query into a manual engineering event. OcientAIQ gives CSPs one governed place to retain, search, join, and produce disclosure-relevant records at full fidelity, with every response bounded to the request and traceable back to source.

  • Full-fidelity CDR, ICR/IPDR, signaling, messaging, location, and subscriber context retained for the mandated window
  • Cross-dataset search by authority, time window, geography, subscriber, device, tower, or identifier
  • Evidence-ready response packages with request parameters, query path, returned records, and source lineage
  • Auditable access and outputs for counsel, regulator review, internal audit, and case-management workflows
Factory operations

Recover billable GPU capacity

AI factory and GPU-cloud operators can’t afford to lose billable capacity to degraded jobs, idle GPUs, or cross-layer failures that take hours to diagnose. OcientAIQ joins GPU telemetry, network fabric, scheduler, storage, and facility data in one governed platform, so operators can investigate incidents, recover utilization, and back every SLA or chargeback decision with full-fidelity evidence.

  • Cross-layer observability across GPU, fabric, scheduler, storage, and facility telemetry
  • Root-cause analysis on full multi-year fleet history, not sampled dashboards or 90-day windows
  • Predictive failure detection for GPU failures and thermal breaches before they impair billable jobs
  • SLA assurance, chargeback, and differentiated service tiers backed by evidence, not assertions

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.