Uniphore pricing

About

Uniphore is an enterprise AI company whose Business AI Cloud unifies data, knowledge, models, and agents to automate conversations and workflows across the enterprise. The platform is organized into four layers — a Data layer (prepares enterprise data for AI without migration), a Knowledge layer (builds domain-specific small language models), a Model layer (governs and secures models with guardrails), and an Agentic layer (orchestrates agents that execute business workflows). It spans front-office use cases (CX automation, revenue operations, workforce operations, marketing activation) and back-office ones (risk & compliance, finance, procurement, employee operations), with verticalized offerings for financial services, telecom, insurance, healthcare, retail, and energy.

Founded in Chennai, India in 2008 and now headquartered in Palo Alto, Uniphore started in speech and voice analytics and has repositioned around agentic enterprise AI. It is a unicorn valued at roughly $2.5B, having raised a $400M Series E in 2022 (led by NEA) and a $260M Series F in 2025 with strategic investors including NVIDIA, AMD, Snowflake, and Databricks. Much of its product surface arrived by acquisition — Jacada, Colabo, Red Box, Emotion Research Lab, and in late 2024 ActionIQ and Infoworks (positioned as the industry’s first “Zero Data AI Cloud”).

For the most current information, visit Uniphore.

Pricing summary : How Uniphore’s pricing model works

Uniphore is fully sales-led: there is no public price list, no self-serve tier, and no checkout. The site’s /pricing URL returns a 404 “page not found” — the only path forward is a demo and a sales conversation. Every deal is a custom enterprise contract, almost always annual, negotiated per account.

Based on Uniphore’s own descriptions and third-party software directories, the contract structure is a hybrid: a platform/license fee (scaling with the product suite, number of users, features, and service level) layered with per-agent or per-seat charges and a per-interaction (consumption) component that scales with conversation volume. Third-party resources cite indicative figures of roughly 35 dollars per agent plus about 1,500 dollars per integration, on top of an unstated platform fee — but Uniphore publishes none of these, so treat them as third-party estimates, not official rates.

What makes this different: unlike PLG-led AI tooling, Uniphore sells the way legacy enterprise software does — multi-product, multi-year, quote-only — and increasingly frames value in outcome terms (win-rate lift, reduced handle time, revenue-leakage recovery) rather than a per-token or per-seat sticker. The pricing opacity is deliberate: it preserves room to negotiate value-based deals account by account.

Pricing by product

Sales motions across products: 100% sales-led — demo-and-quote, no self-serve across every component above. Contracts are typically annual or multi-year with commitments. All dollar figures above are third-party/indicative; Uniphore does not publish rates.

Hidden costs : What Uniphore users actually pay

With no published rates, the real cost of Uniphore is whatever the contract negotiates — and the line items extend well beyond a headline platform fee. Based on third-party directories and the multi-component model, buyers should budget for the platform/license fee, per-agent or per-seat charges, a per-interaction consumption component, and integration / professional-services fees. Third-party sources also flag potential annual increases depending on contract terms.

Other things to budget for: multi-year commitments and minimums, implementation/onboarding time for a multi-layer platform, and the integration work to connect Uniphore to existing contact-center, CRM, and data systems. Because the consumption component scales with conversation volume, high-volume deployments can see cost grow faster than seat count — a key question to pin down in the quote.

Want to estimate your own Uniphore bill? Use the Uniphore pricing calculator to model your costs based on usage patterns.

Pricing evolution : Uniphore pricing history and changes

Cadence

Tracked range: 2026-present for the live capture; no public price page exists to snapshot historically. The /pricing URL returns 404 — there is no Wayback price history to reconstruct, only product/positioning evolution.

Notable changes

• 2008 — Founded in Chennai as a speech/voice-analytics company; enterprise sales-led from the outset.
• 2022 — $400M Series E at ~$2.5B valuation (led by NEA) funds platform expansion; pricing remains quote-only.
• 2024-12 — Acquires ActionIQ (CDP) and Infoworks, adding a data layer and pitching a “Zero Data AI Cloud.”
• 2025 — $260M Series F with strategic backers (NVIDIA, AMD, Snowflake, Databricks); repositioning around agentic enterprise AI.
• 2026-06-09 — Live check confirms no public pricing page (the /pricing URL 404s); the motion stays fully sales-led with custom quotes.

What’s unique : Uniphore’s distinctive pricing mechanics

1. Quote-only, even by enterprise-AI standards. Many enterprise vendors gate detail but still expose a “starting at” anchor or tier names. Uniphore exposes nothing — the /pricing URL is a 404 — forcing every prospect into a sales conversation. That maximizes negotiating room but also raises buyer friction and time-to-quote.

2. Multi-component hybrid (license + seat + interaction). Rather than one meter, Uniphore stacks a platform license, per-agent/seat charges, and a per-interaction consumption component. This lets it monetize both deployment breadth (seats, suites) and depth (conversation volume) in the same contract.

3. Outcome-framed value, M&A-built surface. Uniphore increasingly sells on business outcomes (win-rate lift, reduced handle time, revenue-leakage recovery) across a product surface assembled by acquisition. Pricing therefore reflects bundled-suite value, not a single SKU’s unit economics.

Strengths & weaknesses

Billing UX : Uniphore billing controls and transparency

• Billing controls — Entirely account-managed. There is no self-serve dashboard for plan selection or upgrades; changes go through the account team and contract amendments. Commitments are typically annual or multi-year.
• Usage visibility — Because the model includes a per-interaction consumption component, in-deployment reporting of interaction/conversation volume matters for cost control, but Uniphore publishes no public usage-metering UX details; expect this to be negotiated and surfaced via the platform/account team.
• Payment options — Enterprise invoicing under a custom MSA. No public card-checkout or self-serve option exists; integration and professional-services fees are billed per the statement of work.

Strategic wins : Why Uniphore’s pricing decisions worked

1. Gating price to sell value, not SKUs

By keeping pricing fully quote-only, Uniphore negotiates each enterprise deal on bundled-suite and outcome value rather than a published unit rate. For complex, regulated buyers this can land larger, stickier contracts than a transparent per-seat list would. See how AI companies structure pricing.

2. A multi-component model that grows with the account

Stacking a platform license with per-seat and per-interaction charges means revenue expands as customers add suites, seats, and conversation volume — classic land-and-expand, tuned for a broad platform. Related: outcome-based pricing trends.

3. Funding expansion through M&A

A ~$2.5B valuation and strategic backers (NVIDIA, AMD, Snowflake, Databricks) funded acquisitions (ActionIQ, Infoworks, Jacada, Colabo) that broadened what a single Uniphore contract can cover — increasing deal size without forcing a public price change. See choosing the right usage metric.

Areas to improve : Gaps in Uniphore’s pricing approach

1. No anchor at all

Competitors that publish even a “starting at” figure or tier names give buyers a way to self-qualify. A 404 /pricing page forces every curious evaluator into sales, filtering out lower-intent (but sometimes high-value) prospects and slowing the funnel. See bill shock and cost unpredictability.

2. Forecastability of the consumption component

A per-interaction charge layered on a platform license makes total cost hard to forecast, especially as conversation volume grows. Without published unit rates or a public calculator, buyers cannot model scale-up cost — a real predictability gap.

3. Annual-increase exposure

Third-party sources flag potential annual increases tied to contract terms. Clearer, capped escalators and published mechanics would reduce renewal-time uncertainty for buyers committing multi-year.

Key takeaways

1. Uniphore is fully sales-led — no public price exists. The /pricing URL 404s; every deal is a custom enterprise quote.
2. The model is a multi-component hybrid. A platform license plus per-agent/per-seat and per-interaction consumption charges, negotiated per account.
3. Third-party figures are indicative only. Estimates like roughly 35 dollars per agent and 1,500 dollars per integration come from directories, not Uniphore — treat them as rough signposts.
4. Cost forecasting is the buyer’s main challenge. The consumption component and possible annual increases make scale-up cost hard to predict.
5. M&A-built breadth drives deal size. Acquisitions (ActionIQ, Infoworks, Jacada, Colabo) widen what one contract covers, supporting land-and-expand.

UBP implications

1. Consumption components can hide inside enterprise contracts. Even quote-only vendors increasingly meter interactions/conversations — usage-based pricing isn’t only a PLG phenomenon. See usage-based pricing strategy.
2. Pick a value metric buyers already track. Per-agent and per-interaction map to how contact-center and revenue teams already measure work, making the meter intuitive even when the rate is gated.
3. Transparency is a trade-off, not a default. Full opacity buys negotiating room but costs funnel velocity and forecastability — a deliberate choice for high-ACV enterprise AI.

Sources

• Uniphore official website (live capture, accessed 2026-06-09 — /pricing returns 404)
• Uniphore — Sales Interaction Agent / Business AI Cloud (accessed 2026-06-09)
• Uniphore Pricing 2026: The True TCO & Hidden Costs — PricingNow (third-party estimates, accessed 2026-06-09)
• Uniphore Secures $400M Series E at $2.5B valuation — Uniphore press release (accessed 2026-06-09)
• Uniphore Closes $260M Series F — SuperbCrew (accessed 2026-06-09)
• Uniphore Acquiring ActionIQ and Infoworks — Uniphore press release (accessed 2026-06-09)

Bottom line

Uniphore is a ~$2.5B enterprise-AI unicorn whose Business AI Cloud automates conversations and workflows across the enterprise — and it is sold the way legacy enterprise software is: fully sales-led, quote-only, with no public price list (the /pricing URL even 404s). The reported model is a multi-component hybrid — a platform/license fee plus per-agent/per-seat and per-interaction consumption charges, negotiated per account and typically annual or multi-year. Third-party figures (roughly 35 dollars per agent, 1,500 dollars per integration) are indicative only; Uniphore publishes no rates. The real buyer challenge is forecastability, not sticker shock. Browse the pricing blueprint for more fully-researched company profiles.

Want to compare Uniphore against other enterprise conversational-AI and automation companies? Browse the pricing blueprint.