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Tiksom

Manchester, United Kingdom

10-49€20-40/hrFounded 2015
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About

Tiksom is a Manchester software company building custom applications and product engineering for startups, with a separate AI practice covering agent systems and machine-learning features.

Who They Work With

Startups needing an agent system designed rather than assembled, from a shop whose wider client list runs to UNICEF and Erasmus MC.

Clients:Enterprise

Based on 3 client engagements with a source URL · researched 6 Aug 2026

Our Take

The Myaigi build is the reason this listing exists and it is documented properly: a multi-agent behavior-change backend on LangChain and LangGraph with RAG, a unified memory layer holding user context and history, and an internal Judge Agent enforcing consistency and safety across agents.

The write-up is explicit that the client specified the architecture problem—parallel agents, context switching, accuracy without hallucination—which is a more honest framing than most agency case studies attempt.

The wider portfolio is custom software and mobile work going back to 2015—maintaining and extending an online surveying system for UNICEF, feature work and regulatory compliance on an existing Erasmus MC system—so the AI practice sits inside a general product shop rather than defining it. Two further portfolio entries, Starryai and Typingflow, are presented as products without describing an engagement, so they are excluded here.

The weaker fit is a buyer who wants proof the agent system worked; nothing is published on what it improved, and it is the only AI project on the list.

Key strengths

  • Names its stack down to the framework—LangChain, LangGraph, RAG—which most listed agencies still will not do
  • The Judge Agent pattern shows evaluation was designed in, not added after
  • Building since 2015, so the engineering practice predates the AI positioning

Good to know

  • No outcome figures published for the agent system—ask what it improved and how that was measured
  • One documented AI project; the rest of the portfolio is app and platform work
Gabor Kiss

Reviewed by Gabor Kiss

Founder & Curator, AIAgencies.eu · 6 Aug 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: Myaigi, UNICEF, and Erasmus MC. All 3 carry a source URL on file.

MyaigiMulti-agent habit-formation backend on LangChain/LangGraph with RAG, unified memory layer and a Judge Agent for consistency and safety checksSource
UNICEFTook over an existing online surveying system, maintained it and added features without breaking what was there; the case study reports all acceptance tests passed. Not AI workSource
Erasmus MCExtended the feature set and interface of an existing system for the Rotterdam university medical center and brought it in line with current healthcare regulation. Not AI workSource

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