Which AI teammate platform is the cheapest?

CrewAI is free at the open-source tier; for managed products, Relevance AI starts at $19/mo and Lindy at $49/mo. Enterprise platforms (Sierra, Decagon, Glean, Harvey) are usually $50K+/year. Ainora pricing is custom and scales with call and message volume rather than seat count.

Which AI teammate works in the EU with GDPR-grade data residency?

Ainora is EU-native (Lithuanian-headquartered, EU data residency). Altis is also EU-headquartered. Glean and others have EU regions but are US-headquartered. Lindy, Decagon, Sierra, Harvey, CrewAI, and Relevance AI are US-headquartered with US-default residency.

Which platforms support voice (phone) calls natively?

Sierra and Ainora. Most others (Lindy, Altis, Decagon as primary, Glean, Harvey, CrewAI, Relevance AI) are text-only or web-chat-only.

Which platforms support languages other than English?

Ainora supports LT, EN, RU, DE, FR, PL out of the box with mid-conversation switching. Decagon has partial Spanish. Most others (Lindy, Altis, Sierra, Glean, Harvey, CrewAI, Relevance AI) are English-only or English-primary.

Which platform should I choose if I have engineers and want to build my own?

CrewAI is the open-source framework choice. Relevance AI is the closest no-code self-serve alternative.

Which platform is right for legal-vertical work specifically?

Harvey is the vertical specialist. Ainora’s legal-ops page covers legal-ops adjacent work (intake, redline tracking, vendor questionnaires) for non-BigLaw teams.

How do I evaluate these in two weeks rather than two quarters?

Pick the three most likely fits from this guide, run one realistic workflow on each, and time how long deployment takes. Ainora and the self-serve options (Lindy, Relevance AI, CrewAI OSS) ship in days. Enterprise platforms (Sierra, Decagon, Glean, Harvey) typically run quarters.

Best AI Teammate Platforms in 2026

Which AI Teammate Should You Choose?

A 7-row picker matching buyer profile to recommendation. If you want detail, every platform has a full breakdown below.

If you need...	Best fit	Runner-up
Voice + ops in one product, in EU, in your customer's language	Ainora	Sierra (if budget unlimited)
Self-serve Slack agent with a marketplace of pre-built flows	Lindy	Relevance AI
Slack-only agent, EU-headquartered, polished UX	Altis	Lindy
Enterprise customer-support deflection at scale	Decagon	Sierra
Premium enterprise CX with $200K+ contract	Sierra	Decagon
Enterprise search across your knowledge stack with light agent layer	Glean	-
Legal-vertical AI for BigLaw / large in-house teams	Harvey	-
Open-source framework to build your own multi-agent system	CrewAI	Relevance AI
Build-your-own AI agents with self-serve UX	Relevance AI	CrewAI

All 9 Platforms at a Glance

Funding numbers reflect publicly disclosed rounds as of 2026-05-05. Sources: TechCrunch, official company announcements, Crunchbase. Channel and language columns are bolded for Ainora because that is where the meaningful difference shows up.

Platform	HQ	Founded	Funding	Channels	Languages	Pricing
Lindy	San Francisco	2022	~$50M+	Slack, web, email	EN	$49-$299/mo + Enterprise
Altis	Vilnius (LT)	2026	Bootstrapped	Slack only	EN	Demo-only, no public pricing
Decagon	San Francisco	2023	$131M Series C ($1.5B val)	Web chat, support	EN, partial ES	Enterprise sales-led
Sierra	San Francisco	2023	$175M Series B ($4.5B val)	Voice + chat	EN-focused	Enterprise sales-led
Glean	Palo Alto	2019	$260M Series E ($7B val)	Web, Slack, Teams	EN	$40-$60/user/mo + Enterprise
Harvey	San Francisco	2022	$300M Series D ($5B val)	Web, integrations	EN	$50-100K+/yr per firm
CrewAI	São Paulo / SF	2023	$18M Series A	API / framework	Any (DIY)	Free OSS · $99/mo Pro · $999/mo Ent
Relevance AI	Sydney / SF	2020	$24M Series A	Web, Slack	EN	$19-$599/mo + Enterprise
Ainora	Vilnius (LT)	2025	Bootstrapped	Phone + Slack + Teams + email	LT, EN, RU, DE, FR, PL	Custom

Editorial note on rankings

We build a competing AI teammate product, so this list is not vendor-neutral. We have ranked Ainora honestly first for European multilingual deployments because that is what we ship and what our customers buy us for - not because we are uniformly better. Sierra and Decagon win for top-of-market US enterprise. Harvey wins for legal. CrewAI wins for engineering teams who want a framework. Read the per-platform notes below before deciding.

Provider Details

Lindy

What it is. Self-serve AI teammate platform. You build “AI employees” by configuring workflows that span email, Slack, calendar, and CRM tools. Originated as a personal-assistant project; now positioned as a horizontal AI worker builder.

Founded by. Flo Crivello (CEO, ex-Teamflow founder, ex-Uber). HQ + funding. San Francisco. Roughly $50M+ raised across multiple rounds; Series A around $14M led by Andreessen Horowitz. Pricing. $49/mo Starter, $199/mo Growth, $299/mo Pro, plus custom Enterprise. Free tier available.

ICP. SMB and small mid-market teams looking for a Slack-first agent they can configure themselves. Strong founder personal brand drives self-serve sign-ups. Strengths. Mature product, agent marketplace, self-serve UX, founder-led brand awareness. Limitations. US-only data residency. English-only. No native voice channel. No explicit GDPR posture for EU buyers. When to pick it. US-headquartered SMB or mid-market team that wants a self-configured Slack agent and is not bound by EU data-residency requirements.

Altis

What it is. Slack-native AI agent. Tag @Altis in any channel and it executes the task across your stack. Markets a “1,000+ integrations” claim via Zapier-style multipliers.

Founded by. Lithuanian team operating as UAB Agentic Labs. HQ + funding. Vilnius, Lithuania. Bootstrapped, no public raise. Pricing. No public pricing - demo-gated.

ICP. Mid-market teams (especially VC-backed) wanting a polished single-channel Slack agent. Strengths. Beautiful product surface, well-articulated memory model (persistent identity, workspace memory, group threads). EU-headquartered. Limitations. Single channel (Slack only). English-only. Three weeks live as of analysis (April 2026), no public customer count, no funding validation. The “1,000+ integrations” claim is a Zapier-style multiplier, not built-in depth. When to pick it. Slack-only team that wants a polished EU-headquartered alternative to Lindy and is comfortable with an early-stage vendor.

Decagon

What it is. AI customer support agent that deflects support tickets via conversational AI. Targeted at enterprise CX teams.

Founded by. Jesse Zhang (CEO, ex-Lowkey co-founder), Ashwin Sreenivas (CTO). HQ + funding. San Francisco. $131M Series C in 2025 at $1.5B valuation, led by Bain Capital Ventures with Accel, Andreessen Horowitz, Bond, BoxGroup. Pricing. Enterprise sales-led; typical contracts $50K-$500K+ ARR.

ICP. Enterprise customer-experience teams with high ticket volume - Eventbrite, Bilt, Notion, Duolingo, Curology are public references. Strengths. Massive funding, big-logo customer base, proven enterprise sales motion, deep expertise in CX deflection. Limitations. Single use case (customer support). US-focused. English with partial Spanish. No native voice channel. No public mid-market pricing. When to pick it. Large enterprise with serious ticket volume and budget for a dedicated CX deflection layer.

Sierra

What it is. Conversational AI agents for customer experience, voice and chat. Premium enterprise tier.

Founded by. Bret Taylor (CEO, ex-Salesforce co-CEO), Clay Bavor (ex-Google VP). HQ + funding. San Francisco. $175M Series B in 2024 at $4.5B valuation, led by Sequoia with Greenoaks and Benchmark. Pricing. Enterprise sales-led; not publicly disclosed.

ICP. Top-tier enterprises that want premium voice + chat AI from a founder team with maximum credibility. Strengths. Founder pedigree, massive funding, instant credibility in enterprise meetings, clean voice + chat product. Limitations. Out of reach for mid-market. English-focused. Slow to deploy (enterprise sales cycles in quarters, not days). Most expensive option in this list. When to pick it. Enterprise that needs premium voice + chat AI, has months for procurement, and treats price as an afterthought.

Glean

What it is. Enterprise AI work assistant - Work AI - with a strong search foundation and a layer of agents that run actions across enterprise tools.

Founded by. Arvind Jain (CEO, ex-Rubrik co-founder, ex-Google), T.R. Vishwanath, Tony Gentilcore. HQ + funding. Palo Alto. $260M Series E in 2025 at $7B valuation, led by Lightspeed with Sequoia, Kleiner Perkins, Coatue, Citi Ventures. Pricing. Enterprise; roughly $40-$60/user/month for Glean Assistant; Workflows tier higher.

ICP. Large enterprises (Sony, Pinterest, Booking.com, Reddit) that want unified search across their internal knowledge plus light agent capability on top. Strengths. Best-in-class enterprise search foundation, agents built natively on top of indexed knowledge, large customer base. Limitations. Enterprise-only. US-focused. Requires extensive setup. Agent capabilities are newer than search; less mature for action-taking. When to pick it. Enterprise that needs unified knowledge search first and AI agents second, with budget for both.

Harvey

What it is. AI agents specialised for legal operations - contract review, legal research, drafting.

Founded by. Winston Weinberg (CEO, ex-O'Melveny lawyer), Gabriel Pereyra (CTO). HQ + funding. San Francisco. $300M Series D in 2024 at a roughly $5B valuation, led by Sequoia with Kleiner Perkins, OpenAI Startup Fund, and ICONIQ. Pricing. Roughly $50K-$100K+/year per firm.

ICP. Big law firms (PwC, Allen & Overy, A&O Shearman are public references) and large in-house legal teams. Strengths. Vertical specialist with deep legal-domain training. Defensible vertical moat. Big-logo customer references. Limitations. Legal-only. US/UK-focused. Expensive. Narrow ICP - not for non-legal ops teams. When to pick it. Law firm or large in-house legal team that wants a vertical specialist for contract review and legal research.

CrewAI

What it is. Open-source agent orchestration framework plus a commercial platform for multi-agent workflows. Developer-led tool, not a productized teammate.

Founded by. João Moura (CEO). HQ + funding. São Paulo / San Francisco. $18M Series A in 2024 led by Insight Partners. Pricing. Free open-source tier, $99/mo Pro, $999/mo Enterprise.

ICP. Engineering teams that want to build their own multi-agent systems and have the developer capacity to maintain them. Strengths. Strong developer mindshare. Open-source community. Multi-agent orchestration as the core differentiator. Limitations. Developer-led product - not for non-technical ops buyers. No native ops UI. Requires technical setup and ongoing maintenance. When to pick it. You have engineers, you want full control over the agent stack, you are happy to build the UI yourself.

Relevance AI

What it is. AI workforce platform that lets non-technical users build their own AI agents. Self-serve agent builder with a marketplace.

Founded by. Daniel Vassilev, Jacky Koh. HQ + funding. Sydney / San Francisco. $24M Series A in 2024, led by Insight Partners with Bessemer and King River. Pricing. $19/mo Pro, $599/mo Team, custom Enterprise.

ICP. SMB and mid-market teams that want to configure their own agents without writing code. Strengths. Strong self-serve UX, agent marketplace, AU and US presence. Limitations. Generic “build any agent” framing - not vertical-specific. No native voice. English-only. Less production-ready than Lindy for serious deployments. When to pick it. Mid-market team that wants Lindy-style self-serve agent building from a non-US-only vendor.

Ainora

What it is. Multi-channel AI teammate. Handles inbound calls when customers ring, and ops in Slack or Teams when your team @mentions us. Built EU-native from day one.

Founded by. Justas Butkus (CEO). HQ + funding. Vilnius, Lithuania. Bootstrapped. Pricing. Custom - scales with call and message volume rather than seat count.

ICP. European mid-market teams that want one product covering both customer-facing voice and internal team ops, in their native language, on EU infrastructure. Strengths. Voice + Slack + Teams in one product (no other vendor in this list does both natively). Six EU languages out of the box, including LT, RU, PL - rare among competitors. EU data residency. Live demo numbers anyone can call: +1 (218) 636-0234 (EN, US) or +370 5 200 2620 (LT, Lithuanian Agnė). Direct sell - no enterprise sales-cycle gating. Limitations. Smaller team than the funded US competitors. Direct-sell only - no self-serve signup for mid-market today. When to pick it. European mid-market team that needs voice + ops in six languages on EU infrastructure, deployed in days.

What to Pick

If you need voice and ops in one product, deployed in days not quarters, in your customers' language, on EU infrastructure: that is Ainora. Call the live demo at +1 (218) 636-0234 (EN, US) or +370 5 200 2620 (LT, Lithuanian Agnė) before you book a sales conversation - you can hear the product running today.

If you need US enterprise-grade CX with the budget to match, Sierra or Decagon are stronger. If you need a vertical specialist for legal, Harvey. If you need self-serve and you are US-based, Lindy or Relevance AI. If you have engineers and want a framework to build your own, CrewAI. If you want a Slack-only EU-headquartered alternative to Lindy and are comfortable with an early-stage vendor, Altis.

Looking specifically at voice AI providers? See the voice-only comparison. Otherwise, return to the AI Teammate pillar.