Senti AI

AI that speaks Filipino, literally

None readiness

About

What is Senti AI

Senti AI builds conversational AI tools — chatbots, voice agents, and NLP models — with a specific focus on Philippine languages including Tagalog, Taglish, and regional variations that generic English-first models handle poorly. It's built for marketing and RevOps teams at growth-stage SMBs and mid-market companies in Southeast Asia that need customer service automation and social listening without losing linguistic accuracy. The standout capability is its social listening tooling, which combines sentiment analysis, topic identification, and information extraction to surface intent signals from local-language content — something off-the-shelf Western tools consistently miss. Clients like ABS-CBN, Unilever, and SM Supermalls have used it for localized content personalization and contact center automation. The honest limitation: this is a services-and-solutions shop as much as a SaaS product, so teams expecting a self-serve platform with transparent pricing and instant onboarding will find the engagement model slower and less predictable than a typical tool purchase.

AI Sales Ops

Capabilities

Key features

Customer service AI

automated support and inbound triage

AI capabilities

autonomous multi-step actions, call transcription + summary

Data

intent signals, real-time enrichment

Our verdict

Vanderbuild take

We see Senti AI as a niche but credible fit for Marketing and RevOps teams in the Philippines or Southeast Asia that need customer service automation and social listening in languages that most Western NLP stacks simply don't handle well — the case study roster (Unilever, ABS-CBN, SM Supermalls) signals real enterprise traction, not just pilot work. On the agentic readiness front, there's no public API and no MCP server — UI-only, meaning you can't drive this from an agent without scraping, which is a hard ceiling for any team building automated GTM workflows on top of it. Pricing is entirely opaque — no tiers, no starting price published — so budget conversations will happen before you see a number, and that friction alone will filter out smaller teams. The deeper limitation is structural: this operates more like a solutions integrator than a product company, so expect custom scoping, longer timelines, and outcomes that vary by engagement rather than a repeatable SaaS motion.

Mateusz Sekta

Founder, vanderbuild

The wedge

Agentic stack profile

API

Not public

No public programmatic access.

No public API. Not usable from an agent without scraping.

Agentic readiness

None

Not usable from an agent without scraping.

No public API. UI-only. Not usable from an agent without scraping, which we don't recommend.

Stack role

AI agent · Signal source

Where this tool slots into an agentic pipeline.

Plays the role of AI agent + Signal source in an agentic pipeline. Use it to act autonomously on inbox, scheduling, or research work; surface buying intent — funding, hiring, job changes, web visits.

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