TextLayer

TextLayer offers a strategic solution for enterprises aiming to integrate advanced artificial intelligence into their existing operational frameworks. It addresses the common challenge where valuable legacy systems, rich with data and business logic, are not inherently designed for modern AI workloads. Instead of forcing a choice between expensive, multi-year rewrites or technological obsolescence, TextLayer provides a bridge. It allows businesses to unlock the potential of their current infrastructure with AI, ensuring they remain competitive by automating complex workflows, accelerating decision-making, and creating new revenue streams.

The core of their offering is TextLayer Core™, a standardized, battle-tested, and modular AI stack that integrates directly into a company's infrastructure. This approach is designed to deploy AI workflows rapidly without accumulating further legacy debt. The platform is built to be model-agnostic, giving businesses the flexibility to swap AI models and capabilities as technology evolves, thus future-proofing their investment.

How to use TextLayer

TextLayer employs a structured, three-step engagement model to ensure rapid and successful deployment:

1. Plug In Fast: The process begins by scoping the client's goals. TextLayer then deploys its stack and guides the client's team through a clean setup using its provided Terraform scripts and a standardized Flask API framework. This ensures a smooth and rapid integration into the existing environment.
2. Define & Build with EDD: TextLayer champions an Eval-Driven Development (EDD) approach. The team helps define clear evaluation criteria (desired inputs and outputs). Development then proceeds by iterating quickly towards these goals, using LLM-as-a-judge scoring to measure output quality from day one.
3. Deliver & Enable: Within just one to two weeks, a working agentic MVP (Minimum Viable Product) is shipped. Crucially, the client's own team is upskilled throughout the process, empowering them to own, maintain, and extend the solution long after the initial engagement, ensuring no vendor lock-in.

Core Features of TextLayer

• Flask API: A production-ready backend framework with built-in best practices for fast, secure, and flexible API development.
• Terraform Scripts: Enables automated infrastructure provisioning for rapid deployment, designed to integrate seamlessly into any enterprise environment.
• LLM + Tool Templates: A collection of pre-built prompts and toolchains for tasks like retrieval and routing to jumpstart AI feature delivery.
• Eval Kits: Includes evaluation datasets, scoring logic, and LLM-as-a-judge tooling to make AI outputs measurable and reliable from the start.
• Real Examples: Access to fully documented, forkable, and production-ready agent blueprints based on successful past deployments.
• Custom Devin Setup: Assistance in deploying a Devin autonomous coding agent, customized for the client's product and workflows, complete with tools and team support.
• Model-Agnostic Foundation: The architecture allows for easy swapping of AI models, ensuring the platform can adapt to future AI breakthroughs without a complete rebuild.

Use Cases for TextLayer

TextLayer is ideal for established companies looking to innovate without disrupting their core systems. Specific use cases include:

• Automating Complex Enterprise Workflows: Integrating AI agents to handle multi-step processes that currently require significant manual intervention.
• Accelerating Data-Driven Decisions: Building AI-powered analytics and insight tools on top of existing data warehouses and legacy systems.
• Creating New AI-Powered Product Features: Enhancing existing software products with intelligent capabilities like natural language search, automated summarization, or agentic user assistance.
• Modernizing Customer Support: Deploying intelligent agents that can access and interact with legacy backend systems to resolve customer queries.

Advantages of TextLayer

TextLayer distinguishes itself by focusing on practical deployment and long-term client empowerment.

• Speed to Production: Ship secure, tested, enterprise-grade features in the first sprint, moving from concept to reality in weeks.
• No Vendor Lock-In: Clients receive complete ownership of the source code, documentation, and deployment pipelines, allowing their teams to extend and modify everything.
• Proven and Battle-Tested: The integration framework is built on patterns refined across dozens of enterprise deployments, inheriting years of optimization from day one.
• Future-Proof Architecture: The model-agnostic design and commitment to continuous evolution ensure that client systems can incorporate new AI breakthroughs immediately.

Pricing and Plans

TextLayer offers flexible engagement models tailored to client needs, rather than fixed subscription tiers. Pricing is determined based on the project scope and engagement type. The primary models include:

• Fixed Scope: For teams with a clearly defined project, offering scoped deliverables and a clear timeline.
• AI Expert on Hand: Provides ongoing strategic support, roadmap guidance, and engineering assistance for teams scaling AI across products.
• Timeline-Based: Engagements for a set period (typically 8-10 weeks) to kickstart AI delivery, even if deliverables are not fully scoped.

Prospective clients are encouraged to book a call to discuss their specific needs and receive a custom quote.