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// AI DEVELOPMENT

Production AI.Not demos.

We build, ship, and operate AI features inside real products. Agents, RAG, voice, vision, automation, engineered with evals, monitoring, and on-call from day one.

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See our work
  • Live in 3–6 weeks
  • Fixed price, agreed upfront
  • You own the code
Authect building production AI features

// WHEN TO CALL US

AI demos die before production.

You're probably here because one of these is true. Here's what we do about each.

  1. 001

    Vapor demos

    Looks great in a Loom.

    Prototypes that ship as Twitter clips and never reach a real user. Polished walkthroughs, zero production hardening.

    What we doWe build the feature inside your real product from day one: production data, real users, error handling and monitoring. The demo is the first milestone, not the last.

  2. 002

    Cost surprises

    Token bills nobody scoped.

    First million tokens are cheap. The bill is not. Without ceilings, fallbacks, and observability, costs run ahead of revenue.

    What we doEvery feature gets a cost ceiling before kick-off, enforced in code with alerts at 50%, 80% and 100% and automatic fallback to a cheaper model. You know the bill before you know the feature.

  3. 003

    Hallucinations

    No grounding, no evals.

    Naked LLM calls with no retrieval, no citations, no test set. Trust collapses on the first confidently wrong answer.

    What we doWe ground answers in your data with retrieval and citations, write the evaluation set before the prompt, and gate every deploy on it. A wrong answer is a failing test, not a support ticket.

  4. 004

    No ops

    Nothing to monitor.

    No drift checks, no rollback path, no on-call playbook. When it breaks at 2am, your users find out before you do.

    What we doMonitoring, drift checks, a rollback path and an on-call runbook ship with every feature, so when a model changes or an output looks odd, there is a procedure and a person, not a scramble.

Engineered, not vibes.

// OUR APPROACH

Your product goes in. Production comes out. No demos, no drift, no surprises in between.

  1. 01 · SCOPED

    We define done before we build.

    Every feature ships against a measurable target: accuracy, latency, cost. If we can't measure it, we don't promise it.

  2. 02 · GROUNDED

    Anchored to your data, not the model's guess.

    Retrieval, citations and tool-calls wired into your systems. Hallucinations are a bug, caught by evals before users see them.

  3. 03 · OPERABLE

    Built to run on a Tuesday at 3am.

    Cost ceilings, drift alerts, fallback paths and on-call runbooks shipped with every project. Production-grade from day one.

Authect AI development

Your product, AI-native.

// CAPABILITIES

  1. Custom agents.LIVE
    1. INPUT
    2. RETRIEVE
    3. REASON
    4. VALIDATE
    5. OUTPUT

    EVALS

    98%

    P95

    840ms

    COST

    $0.004

    01

    01 / 06

    Custom agents.

    Multi-step, tool-using agents tuned to your domain. Built around your data, your tools, and your guardrails.

    Included

    • Tool-calling agents wired into your systems
    • Guardrails and validation on inputs and outputs
    • Traces for every step an agent takes

    Typical timeline

    4–8 weeks

  2. RAG over your data.LIVE
    1. INPUT
    2. RETRIEVE
    3. REASON
    4. VALIDATE
    5. OUTPUT

    EVALS

    98%

    P95

    840ms

    COST

    $0.004

    02

    02 / 06

    RAG over your data.

    Indexed, cited, grounded answers from your private docs, live data, and APIs. Hybrid retrieval where it matters.

    Included

    • Indexing of documents, databases and APIs
    • Cited answers with hybrid retrieval
    • Evaluation set and regression tests

    Typical timeline

    3–6 weeks

  3. Voice & speech.LIVE
    1. INPUT
    2. RETRIEVE
    3. REASON
    4. VALIDATE
    5. OUTPUT

    EVALS

    98%

    P95

    840ms

    COST

    $0.004

    03

    03 / 06

    Voice & speech.

    Realtime voice interfaces with low-latency TTS, ASR, and turn-taking. Built on the latest voice models.

    Included

    • Low-latency speech-to-text and text-to-speech
    • Natural turn-taking and interruptions
    • Phone, web or in-app deployment

    Typical timeline

    4–8 weeks

  4. Vision pipelines.LIVE
    1. INPUT
    2. RETRIEVE
    3. REASON
    4. VALIDATE
    5. OUTPUT

    EVALS

    98%

    P95

    840ms

    COST

    $0.004

    04

    04 / 06

    Vision pipelines.

    OCR, classification, detection, and visual reasoning over images and video. Production batch and realtime.

    Included

    • OCR, classification and detection
    • Batch and real-time processing
    • Human review queue where confidence is low

    Typical timeline

    4–8 weeks

  5. Automation flows.LIVE
    1. INPUT
    2. RETRIEVE
    3. REASON
    4. VALIDATE
    5. OUTPUT

    EVALS

    98%

    P95

    840ms

    COST

    $0.004

    05

    05 / 06

    Automation flows.

    AI-driven workflows that move data, fire actions, and stay observable end to end.

    Included

    • Triggers from your tools, forms and inboxes
    • AI steps with validation and fallbacks
    • End-to-end logs and alerts

    Typical timeline

    3–6 weeks

  6. Evals & monitoring.LIVE
    1. INPUT
    2. RETRIEVE
    3. REASON
    4. VALIDATE
    5. OUTPUT

    EVALS

    98%

    P95

    840ms

    COST

    $0.004

    06

    06 / 06

    Evals & monitoring.

    Test sets, regression gates, drift alerts, and rollback. Every deploy passes evals or it doesn't deploy.

    Included

    • Test sets built from real cases
    • Deploy gates and drift alerts
    • Cost and quality dashboards

    Typical timeline

    1–2 weeks

// BUILT WITH

Models are chosen per feature and swappable; the plumbing around them is the same proven stack we use for every platform.

MODELS

  • GPT
  • Claude
  • Gemini
  • Llama

SERVING

  • vLLM
  • Vercel AI SDK
  • Node.js
  • Python

DATA

  • Postgres
  • pgvector
  • Redis
  • S3

QUALITY

  • Evals
  • OpenTelemetry
  • Sentry
  • Playwright

Plan. Build. Operate.

// PROCESS

Three phases. No discovery purgatory. Every step has a deliverable.

How an Authect project runs, from kick-off to launch

Kick-off to launch, in under a minute

  1. 01 · PLAN

    Week 1

    A scope that survives contact with reality.

    We start with the eval set, not the prompt. What does "correct" mean? What does "too expensive" mean? What's the failure mode we cannot ship with? Once we agree on those, we pick the model, the architecture, and the cost envelope. Then we build.

    You getAn evaluation set, a cost ceiling and a scope document you sign off on
  2. 02 · BUILD

    Weeks 2–5

    Built like a product, not a notebook.

    Prompts, tools, fallbacks, and telemetry all live in your repo. Every call is logged, every cost is tracked, every output is validated before it reaches a user. By the time we hand it over, your team can review every line and own every decision. No black boxes, no vendor lock-in.

    You getThe feature working inside your product, with every call logged and validated
  3. 03 · OPERATE

    Launch and beyond

    Operated, not abandoned.

    Evals gate every deploy. Costs and drift are monitored. Alerts route to a real person on call, not a dashboard nobody opens. When something changes (a model deprecates, a customer reports weird output), there's a runbook waiting for the team picking it up.

    You getEvals gating deploys, cost and drift monitoring, and an on-call runbook

Everything a launch needs. Included.

// WHAT'S INCLUDED

One fixed price covers the build and the things other studios bill as extras or skip entirely.

On every Authect project

  • Full-stack web & software development
  • AI integration & automation
  • Mobile & web app development
  • Cybersecurity audit
  • Legal & compliance basics
  • SEO & Core Web Vitals
  • Modern tech stack: React, Next.js, Node, Python & more
  • Unlimited revisions
  • Direct team access, no account managers
  • Senior developers & AI specialists on every project

Specific to AI projects

  • Evaluation set and automated quality gates
  • Cost ceilings with alerts and model fallbacks
  • Prompts, tools and pipelines in your repository
  • Drift monitoring and a rollback path

Everything we build (code, prompts, evaluation sets and any fine-tuned weights) is yours. We don't keep your data after handover.

One fixed price. No hourly meter.

// PRICING

We scope the work on a 15-minute call, send a fixed quote with a confirmed timeline, and start once you approve it. The price doesn't move unless the scope does, and you decide that.

STARTER PROJECT

Custom quote

Scoped, fixed-price delivery

Full stack: web, software, or AI

3–6 weeks to ship

Security audit + compliance included

Modern tech stack

Direct team access

FOR FOCUSED BUILDS

GET STARTED →+

FULL BUILD

Custom quote

Complex products & multi-phase builds

Priority turnaround

AI integration included

Everything in Starter

Dedicated capacity for your project

FOR SERIOUS PRODUCTS

GET STARTED →+

Every project is scoped and priced individually. No retainers, no surprises.

Typical timelines for this service

Bug fix or small update1–2 days
AI-powered product4–8 weeks
Full software platform8+ weeks
Custom scopeWe'll tell you upfront

Timelines are estimates and confirmed before we start.

  • Fixed price per project, confirmed before work starts
  • Pay by bank transfer, Stripe or Whop; no VAT from Dubai
  • Unlimited revisions within the agreed scope
  • No retainers or long contracts; keep us on only if you want to

How Authect ships AI.

// THE AUTHECT BACKBONE

Same backbone for every project we deliver: scoped, cost-capped, evaluated, and operated. No exceptions, no surprises.

authect://ai · production

$ authect ship

 █████╗  ██╗   ██╗ ████████╗ ██╗  ██╗ ███████╗  ██████╗ ████████╗
██╔══██╗ ██║   ██║ ╚══██╔══╝ ██║  ██║ ██╔════╝ ██╔════╝ ╚══██╔══╝
███████║ ██║   ██║    ██║    ███████║ █████╗   ██║         ██║   
██╔══██║ ██║   ██║    ██║    ██╔══██║ ██╔══╝   ██║         ██║   
██║  ██║ ╚██████╔╝    ██║    ██║  ██║ ███████╗ ╚██████╗    ██║   
╚═╝  ╚═╝  ╚═════╝     ╚═╝    ╚═╝  ╚═╝ ╚══════╝  ╚═════╝    ╚═╝   

> Loading project: client-app · production
> Running eval suite... 142 tests · 98% pass
> Cost ceiling: $200/day · alerts ON
> Guardrails: inputs + outputs validated

Ready. Telemetry: minimal · Evals: green

$ 
  • SCOPED

    Eval criteria locked before kickoff

  • COST-CAPPED

    Hard ceilings, alerts at 50/80/100%

  • GUARDRAILED

    Inputs and outputs validated in code

  • EVALUATED

    Tests gate every deploy

  • PORTABLE

    Your code, your repo, your IP

  • SUPPORTED

    On-call runbook on day one

  • FIRST FEATURE

    3–6 wks

    From kickoff to production.

  • GROUNDING

    Built-in

    RAG, citations, eval set.

  • COST CEILING

    Locked

    No surprise bills.

  • MONITORING

    Day one

    Evals, drift, on-call.

Why Authect?

We combine the quality of a senior product team with the speed and flexibility a founder actually needs.

SEE HOW IT WORKS+
  • WHO BUILDS IT

    TRADITIONAL AGENCY
    Varies by project
    FREELANCER
    One person
    AUTHECT
    Senior dev & AI specialists
  • PRICING

    TRADITIONAL AGENCY
    Hourly or retainer
    FREELANCER
    Per project
    AUTHECT
    Fixed per project
  • COMMUNICATION

    TRADITIONAL AGENCY
    Through account manager
    FREELANCER
    Direct email
    AUTHECT
    Direct: your Slack, your tools
  • TURNAROUND

    TRADITIONAL AGENCY
    Slow & unpredictable
    FREELANCER
    Depends on availability
    AUTHECT
    3–6 weeks to ship
  • TECH

    TRADITIONAL AGENCY
    Whatever they know
    FREELANCER
    Whatever they know
    AUTHECT
    Modern stack + AI-native
  • SECURITY & COMPLIANCE

    TRADITIONAL AGENCY
    Extra cost, often skipped
    FREELANCER
    Rarely included
    AUTHECT
    Built into every project
  • COMMITMENT

    TRADITIONAL AGENCY
    Long contracts
    FREELANCER
    Per project
    AUTHECT
    No lock-in

Frequently asked questions.

What models do you use?
Whatever fits each feature: GPT, Claude, Gemini, Llama or other open-weight models served with vLLM. We choose per feature based on quality, speed, cost and where your data is allowed to go, and most products end up using more than one model. Because models improve every few months, we build so one can be swapped without rewriting your product.
Who owns the IP?
You do. All code, prompts, evaluation sets and any model weights we fine-tune are yours. We don't keep a copy of your data after handover.
How do you handle private data?
Your data stays in tenanted infrastructure, encrypted at rest and in transit, and is never used to train models. If your compliance requirements demand it, we deploy the whole system inside your own cloud account, so data never leaves infrastructure you control.
Do you fine-tune models?
Only when evaluations show it will move the metric that matters. We start with retrieval (RAG) and well-tested prompts, which are cheaper, faster to change and easier to debug. Fine-tuning is a last resort, not a default: cheap, fast and measured, in that order.
What does production-ready mean?
Five things on every AI feature: monitoring in production, evaluations that must pass before a deploy goes out, hard cost ceilings, fallbacks when a model is slow or unavailable, and an on-call runbook. A demo that works once isn't a product; these are what make it dependable for your users.
How do you control AI costs?
We agree a cost ceiling for each feature before kick-off and enforce it in code with hard caps. You get alerts at 50%, 80% and 100% of the budget, and if usage runs over, the system automatically falls back to a cheaper model instead of running up the bill.

Start a project.

Authect founders

Book a 15-minute call or send us a message. No preparation needed.

info@authect.com

Working with teams worldwide.

Let Authect handle it.

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