For enterprises that need private deployment, model choice, deep integrations, and forward-deployed build support. Zangoh builds production AI applications around your workflows — and gives your team control in Zing.
Use Zangoh Enterprise when your AI application needs deeper data access,
stricter controls, private deployment, or dedicated rollout support.
Data residency, customer cloud, sensitive documents, regulated workflows, or internal-only systems.
Business rules, approvals, escalation paths, and edge cases that do not fit an off-the-shelf agent.
CRMs, ERPs, ticketing systems, media pipelines, internal APIs, databases, document stores, or legacy tools.
BYO model keys, private models, open-source deployments, or specialized Zangoh model packs.
Security review, audit logs, permissions, approvals, data retention, and governance are mandatory.
Forward-deployed support to get from workflow mapping to production, not another pilot.
Start with a Zangoh application or blueprint. Run it in Zing. Extend it with forward-deployed engineering, private deployment, data readiness, and model optimization when your workflow requires more.
Deploy in Zangoh Cloud for speed, private VPC for enterprise control, or
controlled environments for regulated and sovereign programs.
Fastest path to value. Managed infrastructure, monitoring, and application operations from Zangoh.
Run inside your cloud perimeter with private networking, your policies, and managed Zangoh support.
For regulated, high-security, or sovereign programs where infrastructure and data movement are tightly controlled.
Zangoh’s forward-deployed team works with your business and technical
teams to map workflows, connect systems, build evals, launch production,
and expose safe controls in Zing.
We sit with the people who know the work — sales reps, support leads, content teams, analysts, reviewers, operators.
We start from a blueprint, connect your data and tools, configure the workflow, and add the missing pieces.
We create scenarios, run sandbox tests, evaluate quality, check policy adherence, and verify tool actions.
We deploy in your chosen environment, monitor live usage, and keep the application improving through Zing.
Not a handoff. Not a black box. A production rollout with controls your team can use.
Bring Gemini, GPT, Claude, Sarvam, open-source, private, or Zangoh models. Zing gives visibility into model routes, cost, quality, fallbacks, and performance.
Use your existing enterprise model contracts and keep usage visible in Zing.
Route by quality, cost, latency, language, privacy, or policy.
Specialized models for translation, ASR, TTS, OCR/VLM, lip-sync, or domain-specific tasks.
Support private or self-hosted model endpoints where security and control require it.
Zangoh helps prepare the data your AI application needs — from documents
and databases to product catalogs, SOPs, media assets, customer histories,
and multilingual archives.
Use Astra to extract layout, text, tables, charts, images, languages, and structured outputs from messy files.
Connect SOPs, policy documents, websites, catalogs, manuals, and internal knowledge bases.
Pull real-time context from CRMs, ERPs, databases, order systems, ticketing systems, and custom APIs.
Use transcripts, video, audio, images, PDFs, screenshots, and media assets inside AI workflows.
Build customer, project, asset, order, ticket, or account context for more consistent applications.
Zangoh Enterprise is built around permissions, approvals, audit trails, model
controls, cost limits, source grounding, and deployment visibility.
SSO, RBAC, workspace permissions, tool-level access, and approval roles.
Track workflow changes, releases, tool calls, approvals, model routes, memory access, and user actions.
Require review for risky actions, high-cost jobs, sensitive outputs, refunds, discounts, or final media exports.
Retention policies, source permissions, redaction, memory controls, and data residency options.
Know which systems the application can access, what actions are allowed, and when approval is required.
Set budgets, usage wallets, hard stops, alerts, and model-level cost visibility.
Once your AI application is live, Zing gives your team the control surface: workflows, playbooks, knowledge, tools, models, approvals, releases, cost, replay, and improvement requests.
See the context, tool calls, policies, approvals, cost, and outcome for every workflow.
Route by quality, cost, latency, language, privacy, or policy.
Test changes before production and roll back when quality degrades.
Get QA, SRE, spend, security, integration, knowledge, and revenue insights.
Start where the workflow is valuable, repetitive, data-heavy, and painful to operate manually.
Workflow discovery, blueprint configuration, integrations, data setup, evals, security review, and launch.
Zing platform, hosting or deployment support, monitoring, replay, support, usage wallet, and application operations.
Monthly optimization, new workflows, eval updates, better context, cost tuning, and release support.
Optional model packs, custom model deployment, fine-tuning, benchmarking, or private model support.
Start small. Prove value. Expand with control.
Start where the workflow is valuable, repetitive, data-heavy, and painful to operate manually.
Sales, support, lead qualification, product guidance, order status, escalation, and customer memory.
Localization, dubbing, subtitles, accessibility, content generation, review, and release workflows.
Digitize & structure scanned, multilingual, table-heavy, visually rich documents for search, RAG, AI workflows.
Evidence packs, policy workflows, approvals, document review, audit trails, and regulated handoffs.
Multilingual citizen workflows, document archives, controlled deployments, and sovereign-ready AI programs.
Any repeatable workflow with data, tools, decisions, approvals, and measurable outcomes.
Zangoh’s enterprise work spans customer operations, media workflows, document intelligence, and private AI deployments. Detailed demos and references are available in enterprise briefings.
See a sales/support application qualify leads, update systems, escalate, and replay decisions in Zing.
See localization, dubbing, subtitle, accessibility, and generation workflows with review and cost tracking.
See messy documents become layout-aware, multilingual, structured, RAG-ready outputs.
See how Zangoh handles model choice, tools, data, audit, approvals, and deployment controls.
Customer references available subject to approval and NDA.
We’ll map the data, tools, controls, deployment path, and first production application — then show how it runs in Zing