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Softblues

London, United Kingdom

10-49€45-85/hrFounded 2014
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About

Softblues is a London AI implementation firm founded in 2014, building multi-agent pipelines, retrieval-augmented support agents, and voice agents for mid-market companies. It is a registered Anthropic Partner Network member.

Who They Work With

Early-stage B2B product teams and smaller UK or Irish firms scoping a first voice agent, agent pipeline or Claude rollout.

Based on 5 client engagements with a source URL · researched 23 Sept 2026

Our Take

Softblues labels each flagship case study with the stage it reached, and the labels hold up: Roof Maker's eight-agent voice line is live, answering every call 24/7 and writing HubSpot tickets, while SofiaHR's assessment pipeline—ten fine-tuned Gemini Flash models validated at 90%+ agreement with expert analysts—runs in beta across 10 clients and 300+ interviews a week.

Of the eight flagships, one is live at a named client, two are in beta, one is the firm's own internal system, one is a Claude rollout and training program, and three stopped at an audit, a design or a proposal—the stack detail is deep, the production record short.

Where a system is live, the reported results are capability measures—24/7 coverage, 97% speech-recognition accuracy, sub-two-second replies at Roof Maker—rather than calls resolved or cost removed.

The weaker fit is buyers who need a named reference system proven at volume, or an in-person London team—the site describes a distributed European team working remotely with clients.

Key strengths

  • SofiaHR documents its training data and validation: about 20,000 labeled phrases per dimension drawn from 2,000+ expert-coded interviews, checked against held-out interviews before go-live
  • Stack specifics throughout, monitoring included—Roof Maker names Aircall, Deepgram Nova 3, GPT-4.1-mini, ElevenLabs Flash v2, LiveKit and Langfuse for tracing
  • Candid evidence labels: the Key Capital study states it reports no measured savings, and the homepage calls its value objectives "not results we have delivered"

Good to know

  • One flagship names a client running the system live—ask to speak to Roof Maker or a SofiaHR beta client before committing to a production build
  • The back catalog files conventional builds, such as AutoBI's fleet SaaS and AgroTop's farm platform, under AI Product Development with no AI in the stack—judge AI depth on the flagships
  • No team page names the engineers—ask who builds, who operates the system after handover, and where the people doing the work are based
Gabor Kiss

Reviewed by Gabor Kiss

Founder & Curator, AIAgencies.eu · 23 Sept 2026

Based on the agency's publicly available portfolio. Own this agency? Claim your profile to provide additional context or request a review update.


How we evaluate agencies

Notable Clients

Every engagement documented in a published case study

Documented engagements: Roof Maker, SofiaHR, Key Capital, Agrotop, and AutoBI. All 5 carry a source URL on file.

Roof MakerLive voice agent with eight specialized agents answering every support call 24/7, escalating urgent calls to a person and logging HubSpot tickets; Deepgram, GPT-4.1-mini, ElevenLabs, LiveKit, LangfuseSource
SofiaHRVoice interview plus ten fine-tuned Gemini Flash models scoring candidates at 90%+ agreement with expert analysts; in beta with 10 clients and 300+ interviews a weekSource
Key CapitalEnablement engagement: Claude Enterprise configured inside Microsoft 365 with SSO and governance settings, nine weekly training sessions, company-wide rollout April 2026; no measured savings reportedSource
AgrotopAI copilot inside the farm-management SaaS for onboarding help, documentation search and field data via chat (GPT-4, LangChain, Qdrant); also built the underlying platformSource
AutoBIFleet-management SaaS built from MVP to enterprise rollout in six months; a conventional software build with no AI component in the listed stackSource

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