# Txlabz > Official Txlabz business agent. TxLabz builds mobile apps, backend platforms, and AI systems for startups and SMBs. Production-grade engineering, shipped in… ## Ask it a question Txlabz answers for itself at https://api.hailera.com/mcp/txlabz. A client that speaks MCP can connect to that address; the tool is ask_txlabz and the protocol is 2026-07-28. Where this file and the agent disagree, the agent is current. ## About Txlabz Applied AI and engineering partner TxLabz is an applied AI and engineering agency serving startups from Seed to Series B, growth-stage SMBs, and technical founders. The company builds production-grade AI agents, workflow automation, custom software, cloud infrastructure, and cybersecurity systems, with work measured against real business outcomes. TxLabz positions itself as a technical execution partner rather than a traditional development shop. Its focus is replacing time-consuming workflows, processes, and decisions with intelligent systems that are integrated with the client's technology stack and data. Working principles - Outcome-obsessed: Technology is evaluated by the business metric it moves. - Speed as a feature: Delivery is optimized for fast, clean execution. - Deep AI expertise: Experience includes LLMs, agents, RAG, fine-tuning, and multi-model systems. - Built to last: The company emphasizes production-grade architecture, maintainability, and avoiding vendor lock-in. - Founder-minded: TxLabz aims to optimize for client outcomes rather than pad timelines. - Pragmatic about AI: The team identifies when AI is not the right solution. - Long-term partnerships: TxLabz continues to support clients as their systems and businesses evolve. AI capabilities The team works with large language models including GPT-4o, Claude, Gemini, and Llama; RAG systems and knowledge bases; single- and multi-agent architectures; fine-tuning; LangChain, LlamaIndex, and custom frameworks; vector databases; workflow automation; data pipelines; monitoring and observability; prompt engineering; and function calling and tool use. Best-fit clients - Seed to Series B startups needing rapid MVP delivery, operational scaling, AI product features, or senior AI expertise. - Growth-stage SMBs with high-volume repetitive operations, sales or support automation needs, and a focus on measurable AI ROI. - Technical founders seeking a partner for AI-first product development, complex LLM architecture, or production-grade AI infrastructure. Source: https://txlabz.com ## What Txlabz does Applied AI and data systems TxLabz designs AI agent platforms, business process automation, machine learning workflows, decision intelligence systems, and modern data foundations for operational scale. Services - AI agent development and workflow orchestration: Agents execute tasks, route decisions, and coordinate multi-step workflows across sales, support, operations, and internal systems. - Business process automation with AI: AI-powered automations reduce turnaround time, operating cost, and execution inconsistency. - Machine learning solutions and AI products: Predictive models, scoring engines, and recommendation systems are turned into production-ready features. - Decision intelligence and predictive analytics: Forecasting, anomaly detection, and next-best-action models support faster decisions. - Data engineering, warehousing, and governance: Pipelines, warehouses, and governance frameworks provide reliable inputs for AI and reporting. Delivery approach - Operational workflow discovery: Map the current process, decision points, and tasks best handled by AI, rules, or people. - System architecture and data design: Define agent flows, automation logic, model strategy, integrations, and data requirements. - Implementation and controlled rollout: Deploy with testing, fallback logic, alerting, and measured rollout gates. - Optimization and scale-up: Refine prompts, workflows, and analytics to improve speed, accuracy, and value. TxLabz designs automations around existing CRMs, help desks, ERPs, databases, internal systems, and APIs. Monitoring, evaluation, fallback paths, logging, and human review points can be used to keep systems auditable and manageable. Technologies and platforms OpenAI, Python, LangChain, FastAPI, Hugging Face, TensorFlow, PyTorch, PostgreSQL, Snowflake, Apache Airflow, dbt, Docker, AWS, and Pinecone. Product and platform execution TxLabz provides engineering services across mobile applications, backend platforms, product development, cybersecurity, performance, cloud infrastructure, and technical staffing. Mobile app development - Native iOS and Android development with Swift and Kotlin - Cross-platform applications with React Native and Flutter - Mobile MVPs and first releases - App rescue and modernization - Push notifications, payments, maps, camera, biometrics, subscriptions, and offline synchronization Backend and APIs - REST and GraphQL APIs - Database design and query performance - Service and microservice architecture - Third-party and internal systems integration - Authentication, roles, permissions, SSO, and multi-tenant access control Product engineering TxLabz develops web applications, mobile products, internal tools, UX systems, and AI-native software. It also provides proof-of-concept and MVP development, legacy application modernization, and custom software engineering. Cybersecurity and compliance Services include cloud security hardening, application security reviews, identity and access design, zero-trust design, security operations automation, and compliance readiness and audit preparation. Performance and quality TxLabz provides software audits, technical reviews, application performance optimization, quality assurance, release validation, UX and conversion-friction analysis, application support, and reliability services. Cloud and infrastructure Services cover cloud strategy and architecture, migration planning, DevOps automation, platform engineering, cloud cost optimization, capacity planning, managed cloud services, and infrastructure support. IT staff augmentation TxLabz offers pre-vetted full-stack, frontend, backend, mobile, DevOps, cloud, SRE, QA, data, AI, IT support, customer support, project management, Scrum, and UI/UX talent. The website states that staff can join a team within 36 hours, with the first three days free and replacement until the client is satisfied. It also states that there are no recruitment fees or payroll setup requirements. Source: https://txlabz.com ## Where Txlabz works Names Serbia as a service area. Areas beyond these are not published. ## Fintech AI Solutions AI for financial services TxLabz builds production-grade AI agents, automation, and custom software for fintech companies. The focus is improving decision speed, reducing compliance overhead, and delivering better customer outcomes. Common fintech challenges - Slow, manual KYC and document verification - High false-positive rates in fraud detection - Compliance reporting that consumes analyst time - Customer questions about accounts and transactions - Manual credit decisions with inconsistent outcomes Solutions TxLabz builds - Document intelligence: AI extraction and verification for KYC documents, financial statements, and contracts. - Fraud detection enhancement: Machine learning models for real-time transaction flows that aim to reduce false positives while detecting more actual fraud. - Compliance automation: Regulatory reporting, audit-trail generation, and compliance-monitoring workflows. - Customer AI assistants: Secure, compliant assistants that answer account questions, explain transactions, and guide customers. - Credit decision support: AI-assisted underwriting that surfaces key signals and accelerates decisions. Common starting points Automated KYC document review, transaction anomaly detection, regulatory report generation, customer onboarding automation, and loan document processing. Fintech engagements can combine applied AI and data systems with cybersecurity and compliance, cloud infrastructure, and other TxLabz service practices according to the company's context, compliance requirements, and growth stage. Source: https://txlabz.com ## Technology Strategy Strategy and transformation services TxLabz helps founders, operators, and leadership teams clarify scope, validate technical direction, prioritize product investments, and structure digital transformation programs before engineering budgets are committed. Services - Discovery workshops and technical scoping: Align stakeholders, define scope, and identify delivery risks. - Technical feasibility and solution assessment: Review architecture, implementation complexity, and business viability. - Product strategy and roadmap planning: Structure priorities, sequencing, dependencies, and commercial tradeoffs. - Digital transformation advisory: Modernize operations, tooling, and delivery workflows for scalable execution and AI readiness. - Innovation strategy and emerging technology advisory: Evaluate technologies, AI opportunities, and strategic bets for measurable leverage. Engagement process - Stakeholder alignment: Gather business goals, technical constraints, assumptions, and delivery expectations. - Assessment and option modeling: Review the opportunity or existing architecture and define viable paths with explicit tradeoffs. - Roadmap and execution framing: Sequence work, define milestones, and identify dependencies. - Decision support and transition: Support leadership decisions and, when needed, transition into delivery with the same team. TxLabz connects strategy to implementation by producing decision-ready scope, architecture, and roadmap artifacts. Strategy engagements can be followed by execution, reducing handoff risk and rework. The team also evaluates whether AI is appropriate or whether standard software or workflow solutions are better suited. Tools The strategy team has hands-on experience with Notion, Miro, Figma, Jira, Confluence, GitHub, Slack, Linear, Loom, and Google Sheets. Source: https://txlabz.com