ContactAI
applications, on your
terms.
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.
Built for the workflows that don’t fit a template.
Use Zangoh Enterprise when your AI application needs deeper data access,
stricter controls, private deployment, or dedicated rollout support.
Your Data Has Boundaries
Data residency, customer cloud, sensitive documents, regulated workflows, or internal-only systems.
Your Workflow Is Custom
Business rules, approvals, escalation paths, and edge cases that do not fit an off-the-shelf agent.
Your Stack Is Complex
CRMs, ERPs, ticketing systems, media pipelines, internal APIs, databases, document stores, or legacy tools.
Your Models Matter
BYO model keys, private models, open-source deployments, or specialized Zangoh model packs.
Your Risk Team Is Involved
Security review, audit logs, permissions, approvals, data retention, and governance are mandatory.
Your First Launch Must Work
Forward-deployed support to get from workflow mapping to production, not another pilot.
Applications first.
Control built in. Depth
when needed.
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.
Run where your data lives.
Deploy in Zangoh Cloud for speed, private VPC for enterprise control, or
controlled environments for regulated and sovereign programs.
Zangoh Cloud
Fastest path to value. Managed infrastructure, monitoring, and application operations from Zangoh.
Private VPC
Run inside your cloud perimeter with private networking, your policies, and managed Zangoh support.
On-Prem
For regulated, high-security, or sovereign programs where infrastructure and data movement are tightly controlled.
We build with your operators, not
around them.
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.
Map
We sit with the people who know the work — sales reps, support leads, content teams, analysts, reviewers, operators.
Build
We start from a blueprint, connect your data and tools, configure the workflow, and add the missing pieces.
Test
We create scenarios, run sandbox tests, evaluate quality, check policy adherence, and verify tool actions.
Launch
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.
Use the best model
for the work.
Bring Gemini, GPT, Claude, Sarvam, open-source, private, or Zangoh models. Zing gives visibility into model routes, cost, quality, fallbacks, and performance.
BYO Model Keys
Use your existing enterprise model contracts and keep usage visible in Zing.
Model-Agnostic Routing
Route by quality, cost, latency, language, privacy, or policy.
Zangoh Model Packs
Specialized models for translation, ASR, TTS, OCR/VLM, lip-sync, or domain-specific tasks.
Private Models
Support private or self-hosted model endpoints where security and control require it.
AI fails without the right context.
Zangoh helps prepare the data your AI application needs — from documents
and databases to product catalogs, SOPs, media assets, customer histories,
and multilingual archives.
Documents
Use Astra to extract layout, text, tables, charts, images, languages, and structured outputs from messy files.
Knowledge
Connect SOPs, policy documents, websites, catalogs, manuals, and internal knowledge bases.
Structured Data
Pull real-time context from CRMs, ERPs, databases, order systems, ticketing systems, and custom APIs.
Multimodal Data
Use transcripts, video, audio, images, PDFs, screenshots, and media assets inside AI workflows.
Entity Context
Build customer, project, asset, order, ticket, or account context for more consistent applications.
Governed from the first workflow.
Zangoh Enterprise is built around permissions, approvals, audit trails, model
controls, cost limits, source grounding, and deployment visibility.
Security and Governance Grid
Controls for identity, evidence, model routes, tools, data, cost, release, and deployment visibility.
SSO/RBAC
single sign-on, roles, workspaces
Audit Logs
runs, routes, tools, approvals
Approval Gates
human checks for risky actions
Model Control
profiles, fallback, private models
Tool Permissions
allowed actions by system
Data Retention
retention, redaction, residency
Memory Governance
scoped memory and recall rules
Cost Limits
budgets, caps, hard stops
Release Gates
staged deploys and rollback plans
Deployment Visibility
cloud, VPC, on-prem status
Identity And Access
SSO, RBAC, workspace permissions, tool-level access, and approval roles.
Audit Trails
Track workflow changes, releases, tool calls, approvals, model routes, memory access, and user actions.
Human Approval
Require review for risky actions, high-cost jobs, sensitive outputs, refunds, discounts, or final media exports.
Data Controls
Retention policies, source permissions, redaction, memory controls, and data residency options.
Tool Governance
Know which systems the application can access, what actions are allowed, and when approval is required.
Cost Controls
Set budgets, usage wallets, hard stops, alerts, and model-level cost visibility.
Everything stays
visible in Zing.
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.
Replay
See the context, tool calls, policies, approvals, cost, and outcome for every workflow.
Change Requests
Route by quality, cost, latency, language, privacy, or policy.
Evals And Release Gates
Test changes before production and roll back when quality degrades.
Ops Agents
Get QA, SRE, spend, security, integration, knowledge, and revenue insights.
A clear path from first workflow to
enterprise rollout.
Start where the workflow is valuable, repetitive, data-heavy, and painful to operate manually.
Build
Workflow discovery, blueprint configuration, integrations, data setup, evals, security review, and launch.
Operate
Zing platform, hosting or deployment support, monitoring, replay, support, usage wallet, and application operations.
Improve
Monthly optimization, new workflows, eval updates, better context, cost tuning, and release support.
Optimize Models
Optional model packs, custom model deployment, fine-tuning, benchmarking, or private model support.
Start small. Prove value. Expand with control.
Common enterprise entry points.
Start where the workflow is valuable, repetitive, data-heavy, and painful to operate manually.
Customer Operations
Sales, support, lead qualification, product guidance, order status, escalation, and customer memory.
Media And Language
Localization, dubbing, subtitles, accessibility, content generation, review, and release workflows.
Document Intelligence
Digitize & structure scanned, multilingual, table-heavy, visually rich documents for search, RAG, AI workflows.
Finance And Compliance
Evidence packs, policy workflows, approvals, document review, audit trails, and regulated handoffs.
Public Sector
Multilingual citizen workflows, document archives, controlled deployments, and sovereign-ready AI programs.
Custom Operations
Any repeatable workflow with data, tools, decisions, approvals, and measurable outcomes.
Built from real deployments, not
slides.
Zangoh’s enterprise work spans customer operations, media workflows, document intelligence, and private AI deployments. Detailed demos and references are available in enterprise briefings.
CustomerOps Demo
See a sales/support application qualify leads, update systems, escalate, and replay decisions in Zing.
Studio Demo
See localization, dubbing, subtitle, accessibility, and generation workflows with review and cost tracking.
Astra Demo
See messy documents become layout-aware, multilingual, structured, RAG-ready outputs.
Private Deployment Walkthrough
See how Zangoh handles model choice, tools, data, audit, approvals, and deployment controls.
Customer references available subject to approval and NDA.
Bring us one workflow.
We’ll map the data, tools, controls, deployment path, and first production application — then show how it runs in Zing