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Customer Support · head to head

Cresta vs Observe.AI

Cresta logo

Cresta

Customer Support

Real-time AI coaching and autonomous agents that sit on top of an existing contact centre platform

From
On request
Rated
-
Full reviewWebsite
Observe.AI logo

Observe.AI

Customer Support

Conversation intelligence and automated QA for contact centres, priced from 100 seats up

From
On request
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Cresta cresta depends on the CCaaS platforms it integrates with, and NICE, Genesys and Five9 are all shipping native real-time assist and auto-QA of their own, so at renewal you may be paying twice for capability your platform vendor will bundle at a discount.; Observe.AI transcription accuracy is the most frequent complaint in independent reviews and degrades on noisy audio, accented speech and overlapping speakers, which matters because QA scores, compliance reports and coaching plans all inherit the error silently.
  • They diverge on capability: Cresta covers Real-time agent assist, Observe.AI covers Interaction Intelligence.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Cresta and Observe.AI actually diverge.

Attributes where Cresta and Observe.AI differ
AttributeCrestaObserve.AI
PlatformsWeb, APIWeb

Identical on both: starting price (On request), pricing model (quote), free tier (No), user rating (Not yet rated), category (Customer Support).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Cresta

  • Real-time agent assist
  • Autonomous AI Agent
  • Conversation intelligence
  • Automated quality management
  • Behavioural coaching
  • Knowledge surfacing
  • Multilingual deployment
  • Supervisor dashboards

Only in Observe.AI

  • Interaction Intelligence
  • Auto QA
  • Real-Time Agent Assist
  • Coaching workflows
  • Voice AI Agents
  • AI CoBuilder
  • Knowledge AI
  • Action and Integration Fabric

What people use each for

The jobs each tool is most often brought in to do.

Cresta

  • A 1,500-seat telecommunications sales centre that wants conversion lift from live agent prompting without migrating off an incumbent Genesys deploymentnot Observe.AI
  • An insurance contact centre replacing manual QA sampling of two per cent of calls with automated scoring of every call for regulatory evidencenot Observe.AI
  • A retail support operation deploying autonomous voice agents on high-volume order status calls while keeping humans on complex claimsnot Observe.AI
  • A contact centre director who needs to prove which specific agent behaviours drive outcome differences, rather than relying on post-call survey scoresnot Observe.AI

Observe.AI

  • A 300-seat contact centre whose QA team samples four calls per agent per month and cannot defend the resulting scores to agents or to the union.not Cresta
  • A regulated collections or financial services operation that must evidence compliance language on every call rather than on a sample.not Cresta
  • A supervisor group that wants live nudges on the agent desktop during difficult calls instead of feedback a fortnight later.not Cresta
  • A voice of the customer programme that needs reasons for churn extracted from calls and pushed into Snowflake alongside CRM data.not Cresta

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Cresta

  • Cresta depends on the CCaaS platforms it integrates with, and NICE, Genesys and Five9 are all shipping native real-time assist and auto-QA of their own, so at renewal you may be paying twice for capability your platform vendor will bundle at a discount.
  • Pricing is not published and contracts are seat-based and annual at enterprise scale, which in practice means six-figure commitments and a procurement cycle measured in months rather than weeks.
  • Real-time guidance only pays back where conversation outcomes are measurable and repeatable, so support teams handling long, varied, low-volume cases rarely recover the licence cost.
  • Deploying real-time assist requires agents to accept on-screen prompting mid-call, and contact centres with strong union representation or experienced tenured agents frequently see adoption resistance that no amount of model quality fixes.
  • Automated quality scoring changes what agents are measured on, and organisations that switch from human QA without rewriting their evaluation rubric and appeals process create industrial-relations problems that surface months after go-live.

Observe.AI

  • Transcription accuracy is the most frequent complaint in independent reviews and degrades on noisy audio, accented speech and overlapping speakers, which matters because QA scores, compliance reports and coaching plans all inherit the error silently.
  • A reported 100-agent minimum with an annual commitment puts the entry ticket in the tens of thousands per year and rules out sub-100-seat contact centres regardless of fit.
  • Non-English coverage is weak; multilingual and heavily accented operations repeatedly report the product does not meet their needs, which constrains EMEA, LATAM and APAC deployments.
  • Implementations run for months and need dedicated internal resource, and at least one detailed public review describes paying for three months of implementation that produced nothing usable.
  • Modular pricing hides total cost: the roughly $69 per agent per month figure on AWS Marketplace covers one module, so a buyer anchoring on it will be off by a wide margin once the platform fee and module mix are added.
  • There has been no disclosed funding round since April 2022 while Genesys, Five9 and NICE bundle conversation intelligence natively, so vendor viability is a live question on a three-year contract.

Pricing, plan by plan

Cresta

On request
  • Cresta$undefined/year
    • AI Agent
    • Agent Assist
    • Conversation Intelligence

Observe.AI

On request
  • Observe.AI Platform$undefined/year
    • Per agent annual licence plus platform fee
    • Modules bought separately: Auto QA, Real-Time Agent Assist, Voice AI Agents, Analytics
    • 100 agent minimum reported

Which should you pick?

Choose Cresta if

  • You need real-time agent assist.
  • You work on Web, API.
  • You also want autonomous ai agent.
Cresta review

Choose Observe.AI if

  • You need interaction intelligence.
  • You also want auto qa.
Observe.AI review

Questions people ask

Is Cresta or Observe.AI better?
Neither clearly leads. Cresta starts at On request and Observe.AI at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Cresta or Observe.AI?
Cresta starts at On request and Observe.AI at On request.
Does Cresta or Observe.AI run on more platforms?
Cresta runs on Web, API. Observe.AI runs on Web.
What is Cresta best used for?
Cresta is most often used for a 1,500-seat telecommunications sales centre that wants conversion lift from live agent prompting without migrating off an incumbent genesys deployment, an insurance contact centre replacing manual qa sampling of two per cent of calls with automated scoring of every call for regulatory evidence, a retail support operation deploying autonomous voice agents on high-volume order status calls while keeping humans on complex claims, a contact centre director who needs to prove which specific agent behaviours drive outcome differences, rather than relying on post-call survey scores. Of those, a 1,500-seat telecommunications sales centre that wants conversion lift from live agent prompting without migrating off an incumbent genesys deployment and an insurance contact centre replacing manual qa sampling of two per cent of calls with automated scoring of every call for regulatory evidence are not what Observe.AI is typically brought in for.
What can Cresta do that Observe.AI cannot?
Cresta covers Real-time agent assist, Autonomous AI Agent, Conversation intelligence, Automated quality management. Observe.AI covers Interaction Intelligence, Auto QA, Real-Time Agent Assist, Coaching workflows.

Answered from the vendors’ own pages

Cresta: Does Cresta replace my contact centre platform?

No. It is designed to sit on top of NICE, Genesys, Five9, Amazon Connect and similar platforms, which is why it is chosen where a full CCaaS migration is not feasible.

Observe.AI: What is the smallest contact centre that can buy this?

Reports put the minimum at around 100 agents on an annual commitment. Below that, expect to be turned away or quoted uneconomically.

Cresta: What does it cost?

Cresta does not publish pricing. Contracts are seat-based and annual, and at the enterprise scale it sells into they are typically six figures per year.

Observe.AI: Is pricing published?

No. The public pricing URL returns a 404. Everything is quoted. The only public datapoint is a single-module AWS Marketplace listing, which is not the platform price.

Cresta: Is it viable for a contact centre under 100 seats?

Rarely. The commercial model, implementation effort and required outcome measurement all assume several hundred seats or more.

Observe.AI: Does it work in languages other than English?

Poorly, by the account of its own customers. Treat non-English contact centres as a proof-of-concept requirement, not an assumption.

Cresta: Who owns Cresta?

It is an independent venture-backed company, having raised roughly 282 million USD in total including a 125 million USD Series D in November 2024 co-led by World Innovation Lab and the Qatar Investment Authority.

Observe.AI: Is this the same company as Observe Inc?

No. Observe Inc at observeinc.com is an observability and logging vendor. The domain confusion causes real procurement errors.

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