Investor Intelligence

Harness investment data to
gain a competitive edge

Unlock data from sources as wide as Twitter commentary to satellite photography to answer specific questions and make informed decisions

Human powered machine

Utilise high quality human interventions maximised by ML

Highly configurable

Surgical tools crafted around your exact needs

Widen your insight pool

Mine a wide range of sources to gain a deeper understanding

Solve the tough problems

Find routes towards the answers that seemed elusive

Harness data to unlock
insight others miss

Many investors use the same data points to make their decisions. This leaves a wealth of insight from unstructured sources such as customer feedback, news articles, twitter commentary and satallite imagery untapped.

1715 Labs unlocks the value in untapped resources by mining and structuring infromation to generate unique data points and insights. We use this to answer your exact questions and provide the understanding you’re missing.

One solution,
all your data types

Image detection

Detect objects and add context to analyse imagery

Shape recognition

Detect and categorise shapes and patterns in imagery

Video enhancement

Categorise, label and annotate video in real time

Boundary & route analysis

Understand and map out boundaries and routes

Precise
computer vision

Image
categorisation

Centre of
mass dots

Bounding
boxes

Polygons &
complex shapes

Straight &
curved lines

Semantic
segmentation

Powerful
language processing

Text
classification

Relationship
identification

OCR
transcription

Semantic
segmentation

Sentiment
recognition

Audio
analysis

Build your models with data training

Move past the pain of manual labelling by harnessing our distributed crowd, supported by more than 10 years' experience of running the world's largest citizen science platform.

  • Precise, custom focus
  • Robust process paths
  • Flexible, infinite scaling
  • Blended human input
dataset_nametypeanalysisaccuracy
cx_callsaudioanalysis97%
store_cctvvideocategorisation72%
territoriesimagebounding99%
uk_roadsimageroute88%
interviewaudiotranscription64%
checkoutvideoannotation76%

Model output validation at scale

Test and improve your data models with the highest quality human validation at scale. We help you monitor your deployed models at a greater speed and lower cost than other options.

  • Assess model suitability
  • Increase performance
  • Understand issues
  • Reduce assumptions
data_pointreturnedanswerresult
a_0042cubecubetrue
a_0043trianglepolygonfalse
a_0044circlecircletrue
a_0045polygontrianglefalse
a_0046polygonpolygontrue
a_0047triangletriangletrue

Understand the ground truth

Gather data from direct observation and quickly synthesize it to gain powerful insight.

  • Create strong foundations
  • Scale human validation
  • Handle subjective content
  • Gain confidence in outputs
idtypecoordinateselevation
r_029river53.273,-7.77832m
m_032mountain59.439,9.394858m
f_067forest-4.394,-84.03993m
f_068forest4.733,85.49412m
l_058lake84.958,-23.494830m
m_033mountain-31.049,41.4861284m

Scale your labelling with no compromise on quality

A core challenge of data labelling is scaling your team. While small pools of workers can’t handle large datasets and increase the risk of individual error, large pools are hard to manage and likely to be less focused or knowledgable.

We have a ten year track record of using existing pools to take the weight of crowd management off your shoulders of world class companies. Participant input is statistically weighted based on their track record to combining the results of many workers for any given task and ensure the highest quality results.

Focus on unique problems with high level configuration

We provide well-tested solutions that can be rapidly implemented for more straight forward tasks, helping you focus on the more important and high impact work.

For more difficult tasks, unknown problems or new areas of research, our flexible internal toolkit and extensive experience in crowd labelling allows us to design and deploy workflows which focus crowd effort onto your specific problem. No more generic ‘place a bounding box’ results.

Labelled data from 1715 Labs helped our model improve robustness and consistency on real world noisy documents

Lorenzo Bongiovanni - Lead Machine Learning Scientist @ Amplyfi

1715 Labs' human-led approach unlocks hard to reach value in complex datasets

Derek Langley - Product Line Design Authority @ Thales
Trusted by data teams at
Nesta
Codemill

Contact us to
get your AI out of the lab

We'll guide you through the best solution and implementations to achieve your data goal and make the most of your artificial intelligence.