Tesseracted Labs GmbH
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ENTRY POINT

Innovate
Faster.
Scale Smarter.

What We Do

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Unclear Problems → Intelligent Products

We turn ambiguous business challenges into concrete, working systems.

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WEEKS NOT QUARTERS. Fast problem framing, rapid prototypes, early user signal, ruthless iteration.

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For Builders of Systems

Enterprises, Founders, and Independent Builders who demand startup speed.

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Those who refuse to sacrifice engineering integrity for speed. Product teams, operations leaders, technical founders.

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Commoditized Intelligence

We unlock dormant value by making AI and Data accessible and actionable.

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Intelligent workflows that actually work. Production-grade Rust/Go/Python. Scalable from Day 1.

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/// INTELLIGENT WORKFLOWS /// HYPER-PERSONALIZATION /// COMMODITIZED INTELLIGENCE /// OPERATIONAL EFFICIENCY /// INTELLIGENT WORKFLOWS /// HYPER-PERSONALIZATION /// COMMODITIZED INTELLIGENCE /// OPERATIONAL EFFICIENCY /// INTELLIGENT WORKFLOWS /// HYPER-PERSONALIZATION
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FROM OVER-PLANNING TO SIGNAL

Innovation at Speed
Requires a Different
Operating System.

Most organizations fail to innovate not because they lack ideas, but because they try to eliminate uncertainty before learning anything real.

We work in controlled loops:

  • >> Fast problem framing
  • >> Rapid system prototypes
  • >> Early signal from real users
  • >> Ruthless iteration

This is not chaos. It is structured discovery led by engineering judgment.

Weeks to signal. Not quarters to decks.

Impact

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Hyper-Personal Strategies

Building Algorithmic Autonomy to identify and engage users with precision, replacing manual guesswork.

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Autonomous GTM engine utilizing internet-scale data to identify ready-to-buy prospects based on real-time business signals.

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Scalable Foundations

Unlocking potential from your data with Cloud-native architecture designed for zero-downtime growth.

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Multi-tenant, AWS-native architecture for a recruitment intelligence platform, scaling from zero to production readiness in 6 weeks.

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Impact Engineering

Bespoke software development (Rust, Go, Python) that automates complex logic to solve talent bottlenecks.

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Natural Language interface for financial strategy backtesting, translating plain English into executable code to reduce time-to-insight from weeks to seconds.

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Commoditized Intelligence

Integrating semantic retrieval and predictive models to build hyper-personal products that amaze users.

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Automated Gap Analysis scoring candidates against "Gold Standard" mandates using One-Shot training on agency-specific data.

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Modernization

Refactoring legacy processes into efficient digital ecosystems to lower operational costs.

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Eliminating "Dashboard Tax" by embedding a conversational Sales Assistant directly into Microsoft Teams, transforming a destination tool into a companion workflow.

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Strategic Velocity

CTO-level guidance to accelerate product delivery without accumulating technical debt.

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Executing a Dual-Track Agile strategy to deliver a functional "Kill Path" MVP in just 6 weeks, proving core value before committing to heavy enterprise builds.

004
WHO THIS IS FOR

Builders of
Products &
Systems

If you are turning ideas into running systems — inside an organization or on your own — you are in scope.

Teams & Organizations

  • • Product & engineering teams shipping new systems
  • • Operations & growth teams replacing manual workflows
  • • Founders validating data-driven products
  • • Leaders turning strategy into execution

Founders & Independent Builders

  • • Solo founders building their first real product
  • • Consultants & analysts industrializing their workflows
  • • Creators turning personal tools into products
  • • Builders who want a technical thinking partner

Why Work
With Us?

1

Learning Velocity

We don't just execute fast; we learn fast. We use "Dual-Track Agile" to separate discovery from delivery, ensuring we validate assumptions before they become expensive mistakes.

2

German Precision, Silicon Valley Speed

Innovation is messy. We embrace "Controlled Chaos" over performative planning. We launch imperfect pilots early to gather real-world signal, rather than waiting for a perfect plan that never survives contact with reality.

3

Outcome Obsessed

We operate as "speedboats" alongside your tanker. We break through the inertia of over-planning to deliver tangible, revenue-generating assets in weeks, not quarters.

005
SYSTEM PROTOCOLS

Frequently
Queried.

Addressing the conundrum of choices: Reliability, Speed, and Scale.

Why doesn't "out-of-the-box" AI work for us?
Generic AI models lack your context. We commoditize your specific data to build bespoke "Intelligent Workflows" that understand your business logic. This ensures reliability where generic tools fail and protects your IP.

How do you solve prompting at scale?
We move away from fragile manual prompting and treat prompts as code. By utilizing programmatic optimization frameworks (like DSPy) and systematic evaluation pipelines, we ensure that as models evolve, your system's output remains consistent and high-quality across millions of inferences.

How do you ensure reliability AND speed?
The answer lies in Model Routing. We architect systems that dynamically route simple queries to smaller, ultra-fast models (like Llama 3 on Groq) and complex reasoning tasks to larger frontier models. This hybrid approach guarantees sub-second latency for the majority of traffic without sacrificing accuracy where it counts.

Is large-scale AI cost-effective? (Token Economics)
Absolutely. As seen in trends from Artificial Analysis, intelligence is rapidly becoming a commodity with prices dropping 100x annually. We optimize your "Token Economics" by leveraging open-weights models and specialized inference providers, ensuring your cost of intelligence trends toward zero while your value per user increases.

How do you secure these systems? (Red Teaming)
We implement rigorous Red Teaming protocols. Before deployment, our systems undergo adversarial testing to identify hallucination risks, prompt injection vulnerabilities, and bias. We build active guardrails that filter inputs and outputs in real-time, ensuring your autonomous agents operate strictly within defined safety boundaries.

How do you fix vague requirements in AI systems?
We use "Clarity Scoring" algorithms. Before an AI takes action, it evaluates the request for ambiguity (e.g., a vague job description or trading strategy). If the score is low, the system automatically triggers a guided feedback loop—like a quick form or chat clarification—to reach a high-confidence state before execution.

How do you drive adoption and avoid "Dashboard Fatigue"?
We believe in eliminating "Dashboard Tax." Instead of forcing users to log into a new tool, we embed intelligence directly into their existing workflows—like integrating a Sales Assistant natively into Microsoft Teams. By transforming tools from destinations into teammates, we drastically reduce friction and increase adoption.

Do we need massive datasets to start?
No. We utilize "One-Shot" and "Few-Shot" learning techniques. We often require only 5-10 "Gold Standard" examples (e.g., perfect job descriptions or historical offers) to calibrate the AI to your specific voice and standards, enabling high performance without big data overhead.