SCITEC GROUP AI LIMITED

Executive Summary

Scitec Group AI Limited operates as a micro-entity within the niche business support and management consultancy sector, showing a notable financial turnaround in 2024 with positive net assets driven by increased accrued income. Positioned as a small, specialized consultancy likely focused on AI-related services, the company benefits from sector trends favoring digital transformation, though it remains constrained by scale. Continued growth will depend on expanding service capacity and leveraging its niche expertise in an increasingly competitive consultancy landscape.

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Company Analysis

This analysis is opinion only and should not be interpreted as financial advice.

SCITEC GROUP AI LIMITED - Analysis Report

Company Number: 13347688

Analysis Date: 2025-07-29 18:03 UTC

  1. Industry Classification
    Scitec Group AI Limited operates primarily within SIC code 82990, classified as "Other business support service activities not elsewhere classified," and SIC code 70229, "Management consultancy activities other than financial management." These sectors generally encompass specialized consulting, advisory, and support services that do not fall into conventional categories like financial or IT consultancy. The business support services sector is characterized by a broad range of service offerings, often tailored to niche client needs. Companies in this segment tend to be small to medium-sized enterprises providing bespoke consultancy or support services, with relatively low fixed asset bases and a focus on intellectual capital and human resources.

  2. Relative Performance
    As a micro-entity with a single employee (the director), Scitec Group AI demonstrates financial characteristics typical of early-stage consultancy firms within the business support services sector. Its latest financials (year ending April 2024) show current assets of £4,765, current liabilities of £10,473, but importantly, a significant prepayment/accrued income balance of £50,000, which elevates total assets less current liabilities to £44,292. This is a notable improvement from prior years when net assets were negative (£-14,330 in both 2022 and 2023), now reporting net assets and shareholders' funds of £18,242. This turnaround suggests recent successful contract acquisition or upfront client payments, common in consultancy firms relying on retainer or milestone billing. Compared to typical micro-entities in the sector, which often struggle to move into positive equity in early years, Scitec’s recent positive equity and working capital improvements indicate strengthening operational footing.

  3. Sector Trends Impact
    The business support and management consultancy sector has been influenced by increased demand for agile, technology-driven advisory services, especially post-pandemic. Digital transformation initiatives, AI adoption, and remote consulting have expanded market opportunities but also heightened competition from both boutique firms and global consultancies. As a small AI-focused consultancy (implied by the company's name), Scitec Group AI Limited may benefit from the growing trend of integrating AI solutions into business processes. However, the sector also faces pressure on fee structures and client acquisition costs, requiring firms to demonstrate clear value-add through innovation or niche expertise. The company’s recent positive prepayments could reflect securing longer-term contracts or retainer agreements, a positive sign amidst these market dynamics.

  4. Competitive Positioning
    Scitec Group AI is a niche player operating at the micro-entity scale within a fragmented sector composed of both sole practitioners and larger boutique consultancies. Its single-employee structure limits operational scale but also allows for low overhead and agile decision-making. The company’s recent financial improvement suggests it is overcoming initial scale-up challenges that typically burden micro consultancies. However, compared to sector norms where small consultancies might have multiple consultants or broader service portfolios, Scitec’s competitive advantage likely rests on specialized AI-related expertise or tailored business support services. The absence of audit requirements and minimal fixed assets aligns with sector norms for micro entities but also limits transparency and potential investor confidence. To enhance competitive positioning, scaling human capital and diversifying service offerings while maintaining cost efficiency would be strategic priorities.


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