FISTA Solutions does not load Google Analytics until you accept. Rejecting keeps optional analytics off. Read the Cookie Policy.

AI development

AI Development Company

FISTA Solutions is an AI development company that builds generative AI applications, LLM and RAG systems, chatbots, voice and document AI, computer vision, predictive models, and MCP integrations for production use. The 18 pages below each cover one service: what is built, the requirements that shape it, the stack, and how cost is scoped.

150+
projects delivered
50+
companies served
99.9%
verified uptime
47%
efficiency gains
12+
countries reached

Delivery

How does FISTA deliver an AI system?

FISTA delivers AI in four phases: a discovery sprint that defines the success metric, data readiness, and specification; a design that fixes the model strategy, retrieval, guardrails, and evaluation plan; iterative builds scored against a golden set; and a production release with tracing, dashboards, cost budgets, and a change process.

  1. 1

    Discover and define

    Use-case selection, data audit, success metrics, risk review, and a written specification with an evaluation plan.

    Output

    Specification, golden set, estimate

  2. 2

    Design the system

    Model strategy, retrieval and data pipelines, guardrails, human review points, and the deployment target.

    Output

    Architecture, model decision record

  3. 3

    Build and evaluate

    Two-week increments, each scored on the evaluation harness for quality, latency, and cost, demoed on real data.

    Output

    Eval reports, working system

  4. 4

    Release and monitor

    Production deployment with tracing, quality and cost dashboards, drift alerts, runbooks, and a change process that re-runs the evals.

    Output

    Production AI system with SLOs

Why FISTA

Why choose FISTA Solutions for ai development?

Because the specification is written before the code, the engineers are AI-native and reviewed, the contract is with a US entity, and the delivery rhythm is weekly demos on your environment. The two lists below are the same on every page in this section; the page-specific reasons are on each page.

How FISTA engineers

  • Spec-Driven Development: every deliverable starts as a written specification with acceptance criteria, so scope is testable before it is built.
  • AI-native delivery: engineers direct coding agents under review gates and evaluation harnesses, compressing build time without loosening verification.
  • Official Anthropic partner, with production experience across Claude, OpenAI, Google, and open-weight models, chosen per workload rather than by default.
  • One accountable delivery lead, weekly demos on your environment, and code in your repositories from week one.

What you get as a client

  • 150+ projects delivered for 50+ companies across 12+ countries since 2017, with 99.9% verified uptime on systems we operate.
  • A US entity (FISTA Solutions Inc., Wilmington, Delaware) for contracting, invoicing, and IP assignment, with an engineering center in Faisalabad, Pakistan for cost-efficient senior capacity.
  • US business-hours overlap for standups and reviews; written decision logs so nothing depends on a meeting you missed.
  • Flexible engagement: fixed-scope build, embedded forward deployed engineers, or a dedicated team that you can scale month to month.

Clear answers

What buyers ask before an AI build.

Straightforward guidance for evaluating scope, fit, and the next step.

01What does an AI development company actually deliver?

A production system, not a notebook: the application or model, the data pipelines, the evaluation harness that proves quality, the deployment with monitoring, and the documentation to operate it. FISTA defines the success metric in the specification and reports against it at every demo.

02Which AI models does FISTA use?

The one that best fits the task on quality, latency, cost, and data constraints: Claude models (FISTA is an official Anthropic partner), OpenAI and Google models, and open-weight models such as Llama, Mistral, and Qwen when self-hosting is required. Model choice is a recorded decision, revisited as the market moves.

03How do you prevent hallucinations and bad outputs?

Grounding with retrieval, structured outputs with validation, guardrails on inputs and outputs, human review gates where stakes are high, and an evaluation harness with a golden set that runs on every change. Quality is measured per release, and regressions block deployment.

04How much does AI development cost?

Cost depends on the problem's scope, data readiness, integration depth, evaluation rigor, and whether models need customization. FISTA scopes an MVP or a discovery sprint first so the estimate for full delivery is grounded in evidence, and inference costs are modeled before build.

05Do we own the models, prompts, and data pipelines?

Yes. All code, prompts, fine-tuned weights, evaluation sets, and pipelines are assigned to you through FISTA Solutions Inc. and committed to your repositories. Nothing is locked to FISTA infrastructure.

Scoped in writing before you commit

Build the AI system that survives contact with production.

Bring the use case and the data you have. The scoping call returns a written specification, evaluation plan, architecture, and phased estimate.