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Vihaya vs. the alternatives.

Four credible categories solve some of the problems Vihaya solves — AI consultancies, workflow builders, SaaS agent platforms, and in-house engineering. Honest side-by-side, no marketing varnish.

DimensionVihayaAI consultancyWorkflow builderSaaS agent platform
Deployment modelDeployed into customer's environmentVaries; typically cloud-basedSaaS or self-hosted instanceVendor's cloud only
Pricing shapeFixed-price 12-week pilot, then engagement-scopedTime & materials, $250–500/hrPer-seat / per-execution monthlyPer-seat or per-call subscription
Buyer personaCDIO / CTO / CMO with budget for a projectSame — CDIO with budgetOps lead / citizen developerFunctional VP (sales ops, support ops)
Audit trailAppend-only, SOC 2-mapped, citation-linkedCustom-built per engagementExecution logs; no compliance mappingVendor-controlled; opaque
Confidence-floor escalationPrimitive, enforced regardless of model outputBuilt if scopedManual conditional nodesVendor's discretion
Customization depthFull — engagement includes custom integrationsFull — by definitionWithin node catalogConfigurable settings only
Where the model livesCustomer's chosen provider (OpenAI / Anthropic / Azure / Vertex)Customer's choiceCustomer's API keyVendor's contract
Data egress to vendorNone — service runs in customer's envEngagement-dependentSelf-hosted: none; SaaS: yesYes
Eval gate / CI testingBuilt-in, CI-blocking, golden dataset per solutionBuilt if scopedNot providedVendor-internal only
Time to first deployed value12 weeks (pilot)3–9 monthsDays to weeks (depending on complexity)Days (onboarding)
Best fit whenYou have one high-volume workflow + budget + want IP to stay yoursYou want bespoke and don't mind T&M costCitizen developers should compose integrationsYou want a defined feature for a defined function

Specific comparisons

How is Vihaya different from Distyl?

Distyl is the closest analog in market positioning — both ship deployed AI services into F500 customers via embedded engagements. The differences: Vihaya publishes its engine packages (Context Mesh, Decisioning, Compliance, Evals) as composable TypeScript modules under the Sustainable Use License, so the customer can see and inspect the substrate rather than receiving a black-box delivery. Distyl runs a more services-heavy model with closer integrations into a specific customer's stack.

How is Vihaya different from a workflow builder like n8n or Zapier?

Workflow builders are self-serve products sold to citizen developers (ops leads composing integrations). Vihaya is a delivered solution sold to a CDIO with a budget problem. The Vihaya engine happens to be built on a fork of n8n, but the customer never sees the visual editor — they consume an HTTP API and a reviewer queue UI for one specific workflow.

How is Vihaya different from LangChain or LangGraph?

LangChain and LangGraph are open-source orchestration libraries — primitives an engineering team uses to build their own agentic application. Vihaya is the application. The engine bundles retrieval (Context Mesh), decisioning, audit, evals, and escalation into one substrate, plus the engagement work to deploy it against a specific customer's data.

How is Vihaya different from an AI consultancy?

AI consultancies sell hours; Vihaya sells outcomes against a fixed-price 12-week pilot. The substrate is the same engine across engagements, which makes the work cheaper to deliver than greenfield. After the pilot, the customer owns the deployed service — there's no lock-in to a recurring services contract.

How is Vihaya different from a SaaS agent platform like Sierra or Cresta?

Sierra, Cresta, and similar SaaS agent platforms run in the vendor's cloud and charge per-seat or per-conversation. Vihaya runs in the customer's environment, against the customer's data, with no egress. The economics are project-based rather than subscription, which fits enterprises that need to capitalize the work or want to avoid recurring vendor risk.

Not sure which category fits your problem?

We’ll say so on the discovery call. If a workflow builder actually fits your shape better, we’ll tell you that.

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