Cluely Alternatives (August 2026)
TL;DR: Cluely is a real-time, deliberately unobtrusive assistant for live calls. Swfte Cortex is a team AI workspace with capture, shared context and governance. Organisations that compare them are usually resolving a procurement question rather than a feature one.
About Cluely and why teams compare it
Cluely is built around a specific and clearly-articulated idea: an assistant that watches your screen and hears your call, and surfaces answers in real time without the other participants seeing it. It has been marketed with more provocation than most products in the category, and the growth has been real. For an individual who wants live support during a sales call or an interview, it does what it says. The searches that bring people to a comparison page tend not to come from individuals. They come from organisations that have found the tool in use internally, or been asked to approve it, and need to work out what they can sanction. The blocking issue is rarely capability. It is that a tool whose value proposition includes being undetectable during recorded conversations sits badly against consent requirements, all-party recording statutes in a number of jurisdictions, customer contract terms, and internal acceptable-use policy.
Cluely sits in the AI meeting assistant category. Its tagline: "#1 undetectable AI for meetings."; captures the positioning. Pricing today is $20 → $40/mo per seat. It is best for Individuals in sales / recruiting calls. The keyword research that produced this page surfaced 260 monthly searches on the primary alternatives query cluely alternatives, at a keyword difficulty of 0 and a paid CPC of $4.90, and a strong signal of buyer commercial intent.
Swfte vs Cluely at a glance
| Capability | Swfte | Cluely |
|---|---|---|
| Category | AI gateway + agent runtime | AI meeting assistant |
| Pricing model | Free tier · pay-per-token · platform fee on paid tiers | $20 → $40/mo per seat |
| Multi-model routing | Policy-driven across 300+ models | Varies. see weaknesses |
| On-prem / VPC deployment | Yes, same product, same APIs | Varies |
| Prompt caching across providers | Yes: automatic 75-90% discount | Limited |
| Built-in eval harness | Yes; golden datasets, LLM-as-judge, A/B routing | Varies |
| Observability + tracing | Yes, and OpenTelemetry-compatible | Varies |
| Per-team cost ceilings | Yes. monthly budgets per team, per project, per user | Limited |
| OpenAI-compatible API | Yes | Varies |
| SOC2 / HIPAA / GDPR posture | SOC2 Type II · HIPAA-ready · GDPR-aligned | Varies |
What Cluely does well
- Invisible-by-design meeting layer
- Real-time prompt + answer overlay
- Strong consumer brand
Where teams hit limits
- No developer API or self-host story
- Per-seat, not per-org pricing
- No multi-model routing
When Swfte is the better choice
When meeting-AI must be a building block: Swfte gives developers a multi-model meeting agent runtime with eval loops and cost controls.
Swfte is an AI gateway and agent runtime. It sits between your applications and every major LLM provider, Anthropic (Claude Opus 4.7, Sonnet 4, Haiku 3.5), OpenAI (GPT-5.5 Pro, GPT-5.5, GPT-5 mini, GPT-5 nano), Google (Gemini 3.1 Pro, 3.0, 2.5 Flash), DeepSeek (V4 Pro, V4, V4 Flash, R1), Grok (4, 3, mini), plus open-weights via Together AI, Fireworks, Replicate, and self-hosted vLLM / TGI / SGLang endpoints. Every request passes through a policy plane that enforces routing, prompt caching, per-team cost ceilings, audit, and eval before it hits the upstream provider.
The collapsing of multiple tools into one runtime is the practical reason most teams migrate. A typical production setup before Swfte: a gateway (Portkey or LiteLLM), an agent framework (LangGraph or CrewAI), an eval tool (LangSmith or Langfuse), a workflow tool (Cluely or similar). Four bills, four upgrade lanes, four sources of operational drift. After: one runtime that does all four with a single OpenAI-compatible HTTP API and one SOC2-attested deployment surface.
Technical detail: what changes when you migrate
Cluely runs as a desktop overlay with screen and audio capture, sending context to a model and rendering responses in a window designed not to appear in screen shares. That architecture is what makes it useful and what makes it difficult to approve: there is no participant-visible signal, and no shared record for the organisation. Swfte Cortex takes the opposite position on both. Capture is visible to participants and governed by admin policy; the resulting transcripts and summaries are a shared team asset rather than a private overlay; retention and residency are configurable; and every model call is logged for audit. Underneath, Cortex uses the same gateway as the rest of the platform, so meeting workloads route across closed frontier, open frontier and self-hosted models under one policy, with per-team budgets and zero-retention routing available for sensitive conversations. If your requirement is genuinely covert live assistance, Cortex is the wrong product. If your requirement is meeting intelligence your security team can approve, that is what it is designed for.
Four workloads where teams switch from Cluely
Replace a single-vendor AI stack
Most teams come to Swfte after locking into one provider (OpenAI, Anthropic, or a specific framework) and hitting a wall on cost, governance, or model portability. Swfte is a drop-in OpenAI-compatible gateway in front, with routing policies that progressively migrate workloads to the right model.
Consolidate gateway + agents + eval
Teams running a gateway (Portkey, LiteLLM), an agent framework (LangGraph, CrewAI), and an eval tool (LangSmith, Langfuse) collapse to one runtime. That's one bill, one observability stream, one set of cost ceilings. and one upgrade lane instead of three.
Bring AI to a regulated workload
Banking, healthcare, government, and defence run Swfte on-prem or in a VPC with full audit, ZDR enforcement on supported providers, and per-team SSO. The same routing and eval primitives apply, just inside the org's perimeter.
Cut LLM spend 40-80%
Naive single-model deployments routinely overpay 3-5×. Swfte's policy-driven routing (small tier by default, workhorse for normal, flagship only when needed) plus prompt caching plus batch on tolerant workloads is the standard production pattern.
Migration timeline; from Cluely to Swfte
| Phase | Effort | What happens |
|---|---|---|
| Week 1: Shadow | Half a day of engineering | Point one Cluely workflow at Swfte's OpenAI-compatible endpoint in shadow mode. Mirror traffic for 48 hours and compare cost-per-call, p95 latency, and answer quality side by side. No application changes required; the API surface matches. |
| Week 1-2: Policy + budget | 1 day per workflow | Declare a routing policy for the workflow (default model, promotion triggers, fallback provider) and a monthly per-team budget ceiling. Attach the eval harness with a golden dataset, an LLM-as-judge step, and a regression UI. Promote the workflow to production traffic. |
| Week 2-4: Migrate the fleet | ~1 day per workflow | Repeat for each Cluely workflow. Most teams cover the top 5-10 workflows in two weeks. Long-tail flows often migrate themselves as the team gets familiar with the runtime. |
| Week 4+: Decommission | Procurement + ops | Cancel the Cluely subscription on the next renewal. Most teams see net savings within the first month from prompt caching and routing alone, before the subscription cost is even removed. |
How Cluely compares to other alternatives
Cluely is one of several alternatives in the AI meeting assistant space. Direct competitors include the obvious incumbents plus a handful of newer entrants. The right choice depends on your binding constraint, and price, compliance, multi-model portability, deployment model, or developer ergonomics.
For a full cross-comparison see the alternatives index and the head-to-head comparisons grouped by category.
Frequently asked questions about Cluely alternatives
Is Swfte Cortex a like-for-like Cluely replacement?
For the real-time on-screen assistance behaviour, no. Cortex is a team AI workspace with meeting capture, shared context and governance, not an invisible overlay that prompts you live during a call. If the overlay is the product you want, Cortex will disappoint.
Why do organisations look for an alternative?
Almost always procurement rather than features. Tools designed to be undetectable during calls and interviews raise consent, recording-law and acceptable-use questions that security review struggles to sign off, particularly in regulated sectors and in jurisdictions requiring all-party consent to record.
What does Cortex do that is comparable?
Meeting capture and summarisation, shared team context across conversations, and retrieval over past discussions — with visible participation, admin controls, retention policy and an audit trail. The assistance is collaborative and after-the-fact rather than covert and live.
Does it work for interview preparation?
For preparation and review, yes: rehearsal, note synthesis and post-interview analysis are well supported. For live undetectable assistance during an assessment, Cortex is deliberately not built for that and we would not recommend it for that purpose.
Switching from Cluely?
Run one workflow through Swfte in shadow for 48 hours. Compare cost, latency, and answer quality side-by-side before you commit.
Free tier · OpenAI-compatible API · SOC2 Type II · On-prem available